+ 
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+ a02_require_specific_cohort_entry
+ + + +a02_require_specific_cohort_entry.RmdDemographic based cohort creation median_start_age = median(age),
max_start_age = max(age))
#> # Source: SQL [1 x 3]
-#> # Database: DuckDB v1.0.0 [unknown@Linux 6.5.0-1025-azure:R 4.4.1//tmp/RtmppZc00w/file1a194e3956b.duckdb]
+#> # Database: DuckDB v1.0.0 [unknown@Linux 6.5.0-1025-azure:R 4.4.1//tmp/RtmpQS5seH/file1a731496b800.duckdb]
#> min_start_age median_start_age max_start_age
#> <int> <dbl> <int>
#> 1 31 57 65
diff --git a/articles/a02_require_specific_cohort_entry.html b/articles/a02_require_specific_cohort_entry.html
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+a02_require_specific_cohort_entry • CohortConstructor
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+ a03_require_in_date_range • CohortConstructor
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diff --git a/articles/a04_require_demographics.html b/articles/a04_require_demographics.html
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+a03_require_demographics • CohortConstructor
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+a04_require_intersections • CohortConstructor
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+ a04_require_intersections
+
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+
+ a04_require_intersections.Rmd
+
+
+
+
+For this example we’ll use the Eunomia synthetic data from the
+CDMConnector package.
+
+library(CDMConnector)
+library(CohortConstructor)
+con <- DBI::dbConnect(duckdb::duckdb(), dbdir = eunomia_dir())
+cdm <- cdm_from_con(con, cdm_schema = "main",
+ write_schema = c(prefix = "my_study_", schema = "main"))
+Let’s start by creating two drug cohorts, one for users of diclofenac
+and another for users of acetaminophen.
+
+cdm$medications <- conceptCohort(cdm = cdm,
+ conceptSet = list("diclofenac" = 1124300,
+ "acetaminophen" = 1127433),
+ name = "medications")
+cohortCount(cdm$medications)
+#> # A tibble: 2 × 3
+#> cohort_definition_id number_records number_subjects
+#> <int> <int> <int>
+#> 1 1 9365 2580
+#> 2 2 830 830
+As well as our medication cohorts, let’s also make another cohort
+containing individuals with a record of a GI bleed. Later we’ll use this
+cohort when specifying inclusion/ exclusion criteria.
+
+cdm$gi_bleed <- conceptCohort(cdm = cdm,
+ conceptSet = list("gi_bleed" = 192671),
+ name = "gi_bleed")
+
+Keep only the first record per person
+
+Individuals can contribute multiple records per cohort. However now
+we’ll keep only their earliest cohort entry of the remaining records
+using requireIsFirstEntry() from CohortConstructor. We can
+see that after this we have one record per person for each cohort.
+
+cdm$medications <- cdm$medications %>%
+ requireIsFirstEntry()
+
+cohortCount(cdm$medications)
+#> # A tibble: 2 × 3
+#> cohort_definition_id number_records number_subjects
+#> <int> <int> <int>
+#> 1 1 2580 2580
+#> 2 2 830 830
+Note, applying this criteria later after applying other criteria
+would result in a different result. Here we’re requiring that
+individuals meet inclusion criteria at the time of their first use of
+diclofenac or acetaminophen.
+
+
+Applying restrictions on patient demographics
+
+Using requireDemographics() we’ll require that
+individuals in our medications cohort are female and, relative to their
+cohort start date, are between 18 and 85 with at least 30 days of prior
+observation time in the database.
+
+cdm$medications <- cdm$medications %>%
+ requireDemographics(indexDate = "cohort_start_date",
+ ageRange = list(c(18, 85)),
+ sex = "Female",
+ minPriorObservation = 30)
+We can then see how many people have people have been excluded based
+on these demographic requirements.
+
+cohort_attrition(cdm$medications) %>%
+ dplyr::filter(reason == "Demographic requirements") %>%
+ dplyr::glimpse()
+#> Rows: 0
+#> Columns: 7
+#> $ cohort_definition_id <int>
+#> $ number_records <int>
+#> $ number_subjects <int>
+#> $ reason_id <int>
+#> $ reason <chr>
+#> $ excluded_records <int>
+#> $ excluded_subjects <int>
+
+
+Restrictions on calendar dates
+
+Next we can use requireInDateRange() to keep only those
+records where cohort entry was between a particular date range.
+
+cdm$medications <- cdm$medications %>%
+ requireInDateRange(indexDate = "cohort_start_date",
+ dateRange = as.Date(c("2000-01-01", "2015-01-01")))
+Again, we can track cohort attrition
+
+cohort_attrition(cdm$medications) %>%
+ dplyr::filter(reason == "cohort_start_date between 2000-01-01 and 2015-01-01") %>%
+ dplyr::glimpse()
+#> Rows: 0
+#> Columns: 7
+#> $ cohort_definition_id <int>
+#> $ number_records <int>
+#> $ number_subjects <int>
+#> $ reason_id <int>
+#> $ reason <chr>
+#> $ excluded_records <int>
+#> $ excluded_subjects <int>
+
+
+Restrictions on cohort presence
+
+We could require that individuals in our medication cohorts have a
+history of GI bleed. To do this we can use the
+requireCohortIntersect() function, requiring that
+individuals have one or more intersections with the GI bleed cohort.
+
+cdm$medications_gi_bleed <- cdm$medications %>%
+ requireCohortIntersect(intersections = c(1,Inf),
+ targetCohortTable = "gi_bleed",
+ targetCohortId = 1,
+ indexDate = "cohort_start_date",
+ window = c(-Inf, 0),
+ name = "medications_gi_bleed")
+cohort_count(cdm$medications_gi_bleed)
+#> # A tibble: 2 × 3
+#> cohort_definition_id number_records number_subjects
+#> <int> <int> <int>
+#> 1 1 0 0
+#> 2 2 0 0
+Instead of requiring that individuals have history of GI bleed, we
+could instead require that they are don’t have any history of it. In
+this case we can again use the requireCohortIntersect()
+function, but this time set the intersections argument to 0 to require
+individuals’ absence in this other cohort rather than their presence in
+it.
+
+cdm$medications_no_gi_bleed <- cdm$medications %>%
+ requireCohortIntersect(intersections = 0,
+ targetCohortTable = "gi_bleed",
+ targetCohortId = 1,
+ indexDate = "cohort_start_date",
+ window = c(-Inf, 0),
+ name = "medications_no_gi_bleed")
+cohort_count(cdm$medications_no_gi_bleed)
+#> # A tibble: 2 × 3
+#> cohort_definition_id number_records number_subjects
+#> <int> <int> <int>
+#> 1 1 101 101
+#> 2 2 179 179
+
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diff --git a/articles/a05_update_cohort_start_end.html b/articles/a05_update_cohort_start_end.html
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+
+
+a04_update_cohort_start_end • CohortConstructor
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+
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+
+
+
+
+ Skip to contents
+
+
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+
+
+
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+
+ a04_update_cohort_start_end
+
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+
+ a05_update_cohort_start_end.Rmd
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diff --git a/articles/a06_concatanate_cohorts.html b/articles/a06_concatanate_cohorts.html
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+
+a05_concatanate_cohorts • CohortConstructor
+
+
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+
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+
+ Skip to contents
+
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+ a05_concatanate_cohorts
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+ a06_concatanate_cohorts.Rmd
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diff --git a/articles/a07_filter_cohorts.html b/articles/a07_filter_cohorts.html
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+
+
+a06_filter_cohorts • CohortConstructor
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+
+ Skip to contents
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+ a06_filter_cohorts
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+ a07_filter_cohorts.Rmd
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diff --git a/articles/a08_split_cohorts.html b/articles/a08_split_cohorts.html
new file mode 100644
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+
+
+
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+
+
+a07_split_cohorts • CohortConstructor
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+
+
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+
+ Skip to contents
+
+
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+
+
+
+ a07_split_cohorts
+
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+
+ a08_split_cohorts.Rmd
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diff --git a/articles/a09_combine_cohorts.html b/articles/a09_combine_cohorts.html
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+
+a08_combine_cohorts • CohortConstructor
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+ Skip to contents
+
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+
+ a08_combine_cohorts
+
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+ a09_combine_cohorts.Rmd
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diff --git a/articles/a10_match_cohorts.html b/articles/a10_match_cohorts.html
new file mode 100644
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+
+
+
+
+
+
+
+Generate a matched age and sex cohort • CohortConstructor
+
+
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+
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+
+
+ Skip to contents
+
+
+
+
+
+
+
+
+
+ Generate a matched age and sex cohort
+
+
+
+ a10_match_cohorts.Rmd
+
+
+
+
+
+Introduction
+
+CohortConstructor packages includes a function to obtain an age and
+sex matched cohort, the generateMatchedCohortSet()
+function. In this vignette, we will explore the usage of this
+function.
+
+Create mock data
+
+We will first use mockDrugUtilisation() function from
+DrugUtilisation package to create mock data.
+
+library(CohortConstructor)
+library(dplyr)
+
+cdm <- mockCohortConstructor(nPerson = 1000)
+As we will use cohort1 to explore
+generateMatchedCohortSet(), let us first use
+cohort_attrition() from CDMConnector package to explore
+this cohort:
+
+CDMConnector::cohort_set(cdm$cohort1)
+
+
+
+Use generateMatchedCohortSet() to create an age-sex matched
+cohort
+
+Let us first see an example of how this function works. For its
+usage, we need to provide a cdm object, the
+targetCohortName, which is the name of the table containing
+the cohort of interest, and the name of the new generated
+tibble containing the cohort and the matched cohort. We will also use
+the argument targetCohortId to specify that we only want a
+matched cohort for cohort_definition_id = 1.
+
+cdm$matched_cohort1 <- matchCohorts(
+ cohort = cdm$cohort1,
+ cohortId = 1,
+ name = "matched_cohort1")
+
+CDMConnector::cohort_set(cdm$matched_cohort1)
+Notice that in the generated tibble, there are two cohorts:
+cohort_definition_id = 1 (original cohort), and
+cohort_definition_id = 4 (matched cohort).
+target_cohort_name column indicates which is the original
+cohort. match_sex and match_year_of_birth adopt
+boolean values (TRUE/FALSE) indicating if we
+have matched for sex and age, or not. match_status indicate if
+it is the original cohort (target) or if it is the matched
+cohort (matched). target_cohort_id indicates which
+is the cohort_id of the original cohort.
+Check the exclusion criteria applied to generate the new cohorts by
+using cohort_attrition() from CDMConnector package:
+
+# Original cohort
+CDMConnector::cohort_attrition(cdm$matched_cohort1) %>% filter(cohort_definition_id == 1)
+
+# Matched cohort
+CDMConnector::cohort_attrition(cdm$matched_cohort1) %>% filter(cohort_definition_id == 4)
+Briefly, from the original cohort, we exclude first those individuals
+that do not have a match, and then individuals that their matching pair
+is not in observation during the assigned cohort_start_date.
+From the matched cohort, we start from the whole database and we first
+exclude individuals that are in the original cohort. Afterwards, we
+exclude individuals that do not have a match, then individuals that are
+not in observation during the assigned cohort_start_date, and
+finally we remove as many individuals as required to fulfill the
+ratio.
+Notice that matching pairs are randomly assigned, so it is probable
+that every time you execute this function, the generated cohorts change.
+Use set.seed() to avoid this.
+
+matchSex parameter
+
+matchSex is a boolean parameter
+(TRUE/FALSE) indicating if we want to match by
+sex (TRUE) or we do not want to (FALSE).
+
+
+matchYear parameter
+
+matchYear is another boolean parameter
+(TRUE/FALSE) indicating if we want to match by
+age (TRUE) or we do not want (FALSE).
+Notice that if matchSex = FALSE and
+matchYear = FALSE, we will obtain an unmatched comparator
+cohort.
+
+
+ratio parameter
+
+The default matching ratio is 1:1 (ratio = 1). Use
+cohort_counts() from CDMConnector to check if the matching
+has been done as desired.
+
+CDMConnector::cohort_count(cdm$matched_cohort1)
+You can modify the ratio parameter to tailor your
+matched cohort. ratio can adopt values from 1 to Inf.
+
+cdm$matched_cohort2 <- matchCohorts(
+ cohort = cdm$cohort1,
+ cohortId = 1,
+ name = "matched_cohort2",
+ ratio = Inf)
+
+CDMConnector::cohort_count(cdm$matched_cohort2)
+
+
+Generate matched cohorts simultaneously across multiple cohorts
+
+All these functionalities can be implemented across multiple cohorts
+simultaneously. Specify in targetCohortId parameter which
+are the cohorts of interest. If set to NULL, all the cohorts present in
+targetCohortName will be matched.
+
+cdm$matched_cohort3 <- matchCohorts(
+ cohort = cdm$cohort1,
+ cohortId = c(1,3),
+ name = "matched_cohort3",
+ ratio = 2)
+
+CDMConnector::cohort_set(cdm$matched_cohort3) %>% arrange(cohort_definition_id)
+
+CDMConnector::cohort_count(cdm$matched_cohort3) %>% arrange(cohort_definition_id)
+Notice that each cohort has their own (and independent of other
+cohorts) matched cohort.
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/articles/index.html b/articles/index.html
index e89f8ce5..f6298050 100644
--- a/articles/index.html
+++ b/articles/index.html
@@ -20,9 +20,16 @@
- Introduction
- Building base cohorts
- - Applying cohort restrictions
- - Generate a matched age and sex cohort
- - Cohort manipulations
+ - a02_require_specific_cohort_entry
+ - a03_require_in_date_range
+ - a03_require_demographics
+ - a04_require_intersections
+ - a04_update_cohort_start_end
+ - a05_concatanate_cohorts
+ - a06_filter_cohorts
+ - a07_split_cohorts
+ - a08_combine_cohorts
+ - Generate a matched age and sex cohort
@@ -44,11 +51,25 @@ All vignettes
-
- Building base cohorts
-
-
- Applying cohort restrictions
+ - a02_require_specific_cohort_entry
-
-
- Generate a matched age and sex cohort
+ - a03_require_in_date_range
-
-
- Cohort manipulations
+ - a03_require_demographics
+ -
+
- a04_require_intersections
+ -
+
- a04_update_cohort_start_end
+ -
+
- a05_concatanate_cohorts
+ -
+
- a06_filter_cohorts
+ -
+
- a07_split_cohorts
+ -
+
- a08_combine_cohorts
+ -
+
- Generate a matched age and sex cohort
-
diff --git a/authors.html b/authors.html
index a55cb9ed..b5ebfc0a 100644
--- a/authors.html
+++ b/authors.html
@@ -20,9 +20,16 @@
- Introduction
- Building base cohorts
- - Applying cohort restrictions
- - Generate a matched age and sex cohort
- - Cohort manipulations
+ - a02_require_specific_cohort_entry
+ - a03_require_in_date_range
+ - a03_require_demographics
+ - a04_require_intersections
+ - a04_update_cohort_start_end
+ - a05_concatanate_cohorts
+ - a06_filter_cohorts
+ - a07_split_cohorts
+ - a08_combine_cohorts
+ - Generate a matched age and sex cohort
diff --git a/index.html b/index.html
index c375c248..76a6dea8 100644
--- a/index.html
+++ b/index.html
@@ -38,9 +38,16 @@
- Introduction
- Building base cohorts
- - Applying cohort restrictions
- - Generate a matched age and sex cohort
- - Cohort manipulations
+ - a02_require_specific_cohort_entry
+ - a03_require_in_date_range
+ - a03_require_demographics
+ - a04_require_intersections
+ - a04_update_cohort_start_end
+ - a05_concatanate_cohorts
+ - a06_filter_cohorts
+ - a07_split_cohorts
+ - a08_combine_cohorts
+ - Generate a matched age and sex cohort
diff --git a/pkgdown.yml b/pkgdown.yml
index 5502248f..cffbce07 100644
--- a/pkgdown.yml
+++ b/pkgdown.yml
@@ -4,10 +4,17 @@ pkgdown_sha: ~
articles:
a00_introduction: a00_introduction.html
a01_building_base_cohorts: a01_building_base_cohorts.html
- a02_applying_cohort_restrictions: a02_applying_cohort_restrictions.html
- a03_age_sex_matching: a03_age_sex_matching.html
- a04_cohort_manipulations: a04_cohort_manipulations.html
-last_built: 2024-08-28T11:15Z
+ a02_require_specific_cohort_entry: a02_require_specific_cohort_entry.html
+ a03_require_in_date_range: a03_require_in_date_range.html
+ a04_require_demographics: a04_require_demographics.html
+ a04_require_intersections: a04_require_intersections.html
+ a05_update_cohort_start_end: a05_update_cohort_start_end.html
+ a06_concatanate_cohorts: a06_concatanate_cohorts.html
+ a07_filter_cohorts: a07_filter_cohorts.html
+ a08_split_cohorts: a08_split_cohorts.html
+ a09_combine_cohorts: a09_combine_cohorts.html
+ a10_match_cohorts: a10_match_cohorts.html
+last_built: 2024-08-28T11:54Z
urls:
reference: https://ohdsi.github.io/CohortConstructor/reference
article: https://ohdsi.github.io/CohortConstructor/articles
diff --git a/reference/CohortConstructor-package.html b/reference/CohortConstructor-package.html
index 94758435..5f52d1e2 100644
--- a/reference/CohortConstructor-package.html
+++ b/reference/CohortConstructor-package.html
@@ -22,9 +22,16 @@
- Introduction
- Building base cohorts
- - Applying cohort restrictions
- - Generate a matched age and sex cohort
- - Cohort manipulations
+ - a02_require_specific_cohort_entry
+ - a03_require_in_date_range
+ - a03_require_demographics
+ - a04_require_intersections
+ - a04_update_cohort_start_end
+ - a05_concatanate_cohorts
+ - a06_filter_cohorts
+ - a07_split_cohorts
+ - a08_combine_cohorts
+ - Generate a matched age and sex cohort
diff --git a/reference/collapseCohorts.html b/reference/collapseCohorts.html
index 621c2df3..e6e6bc1b 100644
--- a/reference/collapseCohorts.html
+++ b/reference/collapseCohorts.html
@@ -22,9 +22,16 @@
- Introduction
- Building base cohorts
- - Applying cohort restrictions
- - Generate a matched age and sex cohort
- - Cohort manipulations
+ - a02_require_specific_cohort_entry
+ - a03_require_in_date_range
+ - a03_require_demographics
+ - a04_require_intersections
+ - a04_update_cohort_start_end
+ - a05_concatanate_cohorts
+ - a06_filter_cohorts
+ - a07_split_cohorts
+ - a08_combine_cohorts
+ - Generate a matched age and sex cohort
diff --git a/reference/conceptCohort.html b/reference/conceptCohort.html
index 48ccd041..aa1dc660 100644
--- a/reference/conceptCohort.html
+++ b/reference/conceptCohort.html
@@ -66,9 +66,16 @@
- Introduction
- Building base cohorts
- - Applying cohort restrictions
- - Generate a matched age and sex cohort
- - Cohort manipulations
+ - a02_require_specific_cohort_entry
+ - a03_require_in_date_range
+ - a03_require_demographics
+ - a04_require_intersections
+ - a04_update_cohort_start_end
+ - a05_concatanate_cohorts
+ - a06_filter_cohorts
+ - a07_split_cohorts
+ - a08_combine_cohorts
+ - Generate a matched age and sex cohort
diff --git a/reference/demographicsCohort.html b/reference/demographicsCohort.html
index 4025c180..a8cfba3d 100644
--- a/reference/demographicsCohort.html
+++ b/reference/demographicsCohort.html
@@ -26,9 +26,16 @@
- Introduction
- Building base cohorts
- - Applying cohort restrictions
- - Generate a matched age and sex cohort
- - Cohort manipulations
+ - a02_require_specific_cohort_entry
+ - a03_require_in_date_range
+ - a03_require_demographics
+ - a04_require_intersections
+ - a04_update_cohort_start_end
+ - a05_concatanate_cohorts
+ - a06_filter_cohorts
+ - a07_split_cohorts
+ - a08_combine_cohorts
+ - Generate a matched age and sex cohort
diff --git a/reference/entryAtFirstDate.html b/reference/entryAtFirstDate.html
index 2fab3b05..aaf5b57c 100644
--- a/reference/entryAtFirstDate.html
+++ b/reference/entryAtFirstDate.html
@@ -22,9 +22,16 @@
- Introduction
- Building base cohorts
- - Applying cohort restrictions
- - Generate a matched age and sex cohort
- - Cohort manipulations
+ - a02_require_specific_cohort_entry
+ - a03_require_in_date_range
+ - a03_require_demographics
+ - a04_require_intersections
+ - a04_update_cohort_start_end
+ - a05_concatanate_cohorts
+ - a06_filter_cohorts
+ - a07_split_cohorts
+ - a08_combine_cohorts
+ - Generate a matched age and sex cohort
@@ -172,10 +179,10 @@ Examples#> # Database: DuckDB v1.0.0 [unknown@Linux 6.5.0-1025-azure:R 4.4.1/:memory:]
#> cohort_definition_id subject_id cohort_start_date cohort_end_date entry_reason
#> <dbl> <dbl> <date> <date> <chr>
-#> 1 1 2 2001-01-01 2001-01-12 date_1
-#> 2 1 3 2015-02-14 2015-02-15 date_2
-#> 3 1 1 2001-08-01 2001-09-01 date_1; dat…
-#> 4 1 4 2002-12-09 2002-12-09 date_1; dat…
+#> 1 1 3 2015-02-14 2015-02-15 date_2
+#> 2 1 2 2001-01-01 2001-01-12 date_1
+#> 3 1 4 2002-12-09 2002-12-09 date_1; dat…
+#> 4 1 1 2001-08-01 2001-09-01 date_1; dat…
# }
diff --git a/reference/entryAtLastDate.html b/reference/entryAtLastDate.html
index eb934109..0de03567 100644
--- a/reference/entryAtLastDate.html
+++ b/reference/entryAtLastDate.html
@@ -20,9 +20,16 @@
- Introduction
- Building base cohorts
- - Applying cohort restrictions
- - Generate a matched age and sex cohort
- - Cohort manipulations
+ - a02_require_specific_cohort_entry
+ - a03_require_in_date_range
+ - a03_require_demographics
+ - a04_require_intersections
+ - a04_update_cohort_start_end
+ - a05_concatanate_cohorts
+ - a06_filter_cohorts
+ - a07_split_cohorts
+ - a08_combine_cohorts
+ - Generate a matched age and sex cohort
@@ -169,10 +176,10 @@ Examples#> # Database: DuckDB v1.0.0 [unknown@Linux 6.5.0-1025-azure:R 4.4.1/:memory:]
#> cohort_definition_id subject_id cohort_start_date cohort_end_date entry_reason
#> <dbl> <dbl> <date> <date> <chr>
-#> 1 1 1 2001-08-01 2001-09-01 date_2; dat…
+#> 1 1 1 2001-08-01 2001-09-01 date_1; dat…
#> 2 1 3 2015-02-14 2015-02-15 date_2
-#> 3 1 4 2002-12-09 2002-12-09 date_2; dat…
-#> 4 1 2 2001-01-01 2001-01-12 date_1
+#> 3 1 2 2001-01-01 2001-01-12 date_1
+#> 4 1 4 2002-12-09 2002-12-09 date_1; dat…
# }
diff --git a/reference/exitAtDeath.html b/reference/exitAtDeath.html
index 89faa332..f0dbd3f9 100644
--- a/reference/exitAtDeath.html
+++ b/reference/exitAtDeath.html
@@ -24,9 +24,16 @@
- Introduction
- Building base cohorts
- - Applying cohort restrictions
- - Generate a matched age and sex cohort
- - Cohort manipulations
+ - a02_require_specific_cohort_entry
+ - a03_require_in_date_range
+ - a03_require_demographics
+ - a04_require_intersections
+ - a04_update_cohort_start_end
+ - a05_concatanate_cohorts
+ - a06_filter_cohorts
+ - a07_split_cohorts
+ - a08_combine_cohorts
+ - Generate a matched age and sex cohort
@@ -101,16 +108,16 @@ Examples#> # Database: DuckDB v1.0.0 [unknown@Linux 6.5.0-1025-azure:R 4.4.1/:memory:]
#> cohort_definition_id subject_id cohort_start_date cohort_end_date
#> <int> <int> <date> <date>
-#> 1 3 7 2029-01-30 2050-08-27
-#> 2 2 8 1954-07-05 1955-07-17
-#> 3 2 5 2113-08-18 2144-11-05
-#> 4 2 2 1998-11-05 2008-01-27
-#> 5 2 1 1951-11-28 2019-01-16
-#> 6 1 6 2006-12-25 2022-11-01
-#> 7 3 10 2003-01-05 2060-02-27
-#> 8 2 3 1993-12-06 1997-05-26
-#> 9 2 9 2109-11-07 2115-08-03
-#> 10 1 4 2017-04-18 2077-11-07
+#> 1 2 2 1998-11-05 2008-01-27
+#> 2 2 1 1951-11-28 2019-01-16
+#> 3 1 6 2006-12-25 2022-11-01
+#> 4 3 10 2003-01-05 2060-02-27
+#> 5 2 3 1993-12-06 1997-05-26
+#> 6 2 9 2109-11-07 2115-08-03
+#> 7 1 4 2017-04-18 2077-11-07
+#> 8 2 8 1954-07-05 1955-07-17
+#> 9 2 5 2113-08-18 2144-11-05
+#> 10 3 7 2029-01-30 2050-08-27
# }
diff --git a/reference/exitAtFirstDate.html b/reference/exitAtFirstDate.html
index 840351d2..909bb494 100644
--- a/reference/exitAtFirstDate.html
+++ b/reference/exitAtFirstDate.html
@@ -22,9 +22,16 @@
- Introduction
- Building base cohorts
- - Applying cohort restrictions
- - Generate a matched age and sex cohort
- - Cohort manipulations
+ - a02_require_specific_cohort_entry
+ - a03_require_in_date_range
+ - a03_require_demographics
+ - a04_require_intersections
+ - a04_update_cohort_start_end
+ - a05_concatanate_cohorts
+ - a06_filter_cohorts
+ - a07_split_cohorts
+ - a08_combine_cohorts
+ - Generate a matched age and sex cohort
@@ -172,10 +179,10 @@ Examples#> # Database: DuckDB v1.0.0 [unknown@Linux 6.5.0-1025-azure:R 4.4.1/:memory:]
#> cohort_definition_id subject_id cohort_start_date cohort_end_date exit_reason
#> <dbl> <dbl> <date> <date> <chr>
-#> 1 1 3 2015-01-15 2015-01-15 date_1
-#> 2 1 4 2000-12-09 2002-12-09 date_1; dat…
-#> 3 1 1 2000-06-03 2001-08-01 date_1; dat…
-#> 4 1 2 2000-01-01 2001-01-01 date_1
+#> 1 1 1 2000-06-03 2001-08-01 date_1; dat…
+#> 2 1 2 2000-01-01 2001-01-01 date_1
+#> 3 1 4 2000-12-09 2002-12-09 date_1; dat…
+#> 4 1 3 2015-01-15 2015-01-15 date_1
# }
diff --git a/reference/exitAtLastDate.html b/reference/exitAtLastDate.html
index 27848c6a..0004a76a 100644
--- a/reference/exitAtLastDate.html
+++ b/reference/exitAtLastDate.html
@@ -22,9 +22,16 @@
- Introduction
- Building base cohorts
- - Applying cohort restrictions
- - Generate a matched age and sex cohort
- - Cohort manipulations
+ - a02_require_specific_cohort_entry
+ - a03_require_in_date_range
+ - a03_require_demographics
+ - a04_require_intersections
+ - a04_update_cohort_start_end
+ - a05_concatanate_cohorts
+ - a06_filter_cohorts
+ - a07_split_cohorts
+ - a08_combine_cohorts
+ - Generate a matched age and sex cohort
@@ -172,10 +179,10 @@ Examples#> # Database: DuckDB v1.0.0 [unknown@Linux 6.5.0-1025-azure:R 4.4.1/:memory:]
#> cohort_definition_id subject_id cohort_start_date cohort_end_date exit_reason
#> <dbl> <dbl> <date> <date> <chr>
-#> 1 1 2 2000-01-01 2001-01-01 date_1
-#> 2 1 1 2000-06-03 2001-08-01 date_1; dat…
-#> 3 1 4 2000-12-09 2002-12-09 date_1; dat…
-#> 4 1 3 2015-01-15 2015-04-15 date_2
+#> 1 1 3 2015-01-15 2015-04-15 date_2
+#> 2 1 1 2000-06-03 2001-08-01 date_2; dat…
+#> 3 1 2 2000-01-01 2001-01-01 date_1
+#> 4 1 4 2000-12-09 2002-12-09 date_2; dat…
# }
diff --git a/reference/exitAtObservationEnd.html b/reference/exitAtObservationEnd.html
index 9c0f46e7..d8e98a57 100644
--- a/reference/exitAtObservationEnd.html
+++ b/reference/exitAtObservationEnd.html
@@ -28,9 +28,16 @@
- Introduction
- Building base cohorts
- - Applying cohort restrictions
- - Generate a matched age and sex cohort
- - Cohort manipulations
+ - a02_require_specific_cohort_entry
+ - a03_require_in_date_range
+ - a03_require_demographics
+ - a04_require_intersections
+ - a04_update_cohort_start_end
+ - a05_concatanate_cohorts
+ - a06_filter_cohorts
+ - a07_split_cohorts
+ - a08_combine_cohorts
+ - Generate a matched age and sex cohort
@@ -93,12 +100,12 @@ Examples#> # Database: DuckDB v1.0.0 [unknown@Linux 6.5.0-1025-azure:R 4.4.1/:memory:]
#> cohort_definition_id subject_id cohort_start_date cohort_end_date
#> <int> <int> <date> <date>
-#> 1 1 4 1996-06-30 2013-12-31
-#> 2 1 7 2014-03-07 2014-04-09
-#> 3 1 5 2012-03-20 2013-02-10
-#> 4 1 1 2001-05-30 2013-06-29
+#> 1 1 7 2014-03-07 2014-04-09
+#> 2 1 2 2000-05-04 2003-06-15
+#> 3 1 4 1996-06-30 2013-12-31
+#> 4 1 5 2012-03-20 2013-02-10
#> 5 1 3 2015-01-27 2015-10-11
-#> 6 1 2 2000-05-04 2003-06-15
+#> 6 1 1 2001-05-30 2013-06-29
# }
diff --git a/reference/index.html b/reference/index.html
index d07f9784..1a6028f0 100644
--- a/reference/index.html
+++ b/reference/index.html
@@ -20,9 +20,16 @@
- Introduction
- Building base cohorts
- - Applying cohort restrictions
- - Generate a matched age and sex cohort
- - Cohort manipulations
+ - a02_require_specific_cohort_entry
+ - a03_require_in_date_range
+ - a03_require_demographics
+ - a04_require_intersections
+ - a04_update_cohort_start_end
+ - a05_concatanate_cohorts
+ - a06_filter_cohorts
+ - a07_split_cohorts
+ - a08_combine_cohorts
+ - Generate a matched age and sex cohort
diff --git a/reference/intersectCohorts.html b/reference/intersectCohorts.html
index 4103c60e..0585025d 100644
--- a/reference/intersectCohorts.html
+++ b/reference/intersectCohorts.html
@@ -24,9 +24,16 @@
- Introduction
- Building base cohorts
- - Applying cohort restrictions
- - Generate a matched age and sex cohort
- - Cohort manipulations
+ - a02_require_specific_cohort_entry
+ - a03_require_in_date_range
+ - a03_require_demographics
+ - a04_require_intersections
+ - a04_update_cohort_start_end
+ - a05_concatanate_cohorts
+ - a06_filter_cohorts
+ - a07_split_cohorts
+ - a08_combine_cohorts
+ - Generate a matched age and sex cohort
diff --git a/reference/matchCohorts.html b/reference/matchCohorts.html
index ff725adf..d6c5dbf4 100644
--- a/reference/matchCohorts.html
+++ b/reference/matchCohorts.html
@@ -22,9 +22,16 @@
- Introduction
- Building base cohorts
- - Applying cohort restrictions
- - Generate a matched age and sex cohort
- - Cohort manipulations
+ - a02_require_specific_cohort_entry
+ - a03_require_in_date_range
+ - a03_require_demographics
+ - a04_require_intersections
+ - a04_update_cohort_start_end
+ - a05_concatanate_cohorts
+ - a06_filter_cohorts
+ - a07_split_cohorts
+ - a08_combine_cohorts
+ - Generate a matched age and sex cohort
@@ -121,7 +128,7 @@ Examples#> ℹ Creating copy of target cohort.
#> • 1 cohort to be matched.
#> ℹ Creating controls cohorts.
-#> Warning: ! 2 casted column in tmp_004_og_039_1724843782 (cohort_attrition) as do not
+#> Warning: ! 2 casted column in tmp_004_og_039_1724846139 (cohort_attrition) as do not
#> match expected column type:
#> • `number_records` from numeric to integer
#> • `number_subjects` from numeric to integer
@@ -141,14 +148,14 @@ Examples#> <int> <int> <date> <date> <dbl>
#> 1 1 118 1975-11-28 1981-05-30 6
#> 2 1 56 2007-09-28 2008-07-15 18
-#> 3 1 63 2008-08-23 2008-09-02 19
-#> 4 1 20 1985-08-15 1990-06-06 27
-#> 5 1 84 2000-04-13 2006-06-11 42
-#> 6 1 81 2009-08-19 2010-12-05 46
-#> 7 1 113 2015-09-05 2016-01-10 50
-#> 8 1 24 2016-12-17 2016-12-29 59
-#> 9 1 119 1982-09-08 1989-01-29 67
-#> 10 1 62 2017-04-27 2018-07-04 73
+#> 3 1 63 2008-05-20 2008-08-22 19
+#> 4 1 20 1990-06-07 1993-11-05 26
+#> 5 1 117 2002-09-07 2003-04-27 30
+#> 6 1 19 2003-06-22 2005-07-21 35
+#> 7 1 84 1995-05-12 1995-08-27 42
+#> 8 1 81 2009-08-19 2010-12-05 47
+#> 9 1 94 2017-11-01 2018-07-05 59
+#> 10 1 119 1978-01-10 1982-09-07 67
#> # ℹ more rows
# }
diff --git a/reference/measurementCohort.html b/reference/measurementCohort.html
index fbaebd6f..8dd3c542 100644
--- a/reference/measurementCohort.html
+++ b/reference/measurementCohort.html
@@ -44,9 +44,16 @@
- Introduction
- Building base cohorts
- - Applying cohort restrictions
- - Generate a matched age and sex cohort
- - Cohort manipulations
+ - a02_require_specific_cohort_entry
+ - a03_require_in_date_range
+ - a03_require_demographics
+ - a04_require_intersections
+ - a04_update_cohort_start_end
+ - a05_concatanate_cohorts
+ - a06_filter_cohorts
+ - a07_split_cohorts
+ - a08_combine_cohorts
+ - Generate a matched age and sex cohort
diff --git a/reference/mockCohortConstructor.html b/reference/mockCohortConstructor.html
index 5848d658..9db66cff 100644
--- a/reference/mockCohortConstructor.html
+++ b/reference/mockCohortConstructor.html
@@ -22,9 +22,16 @@
- Introduction
- Building base cohorts
- - Applying cohort restrictions
- - Generate a matched age and sex cohort
- - Cohort manipulations
+ - a02_require_specific_cohort_entry
+ - a03_require_in_date_range
+ - a03_require_demographics
+ - a04_require_intersections
+ - a04_update_cohort_start_end
+ - a05_concatanate_cohorts
+ - a06_filter_cohorts
+ - a07_split_cohorts
+ - a08_combine_cohorts
+ - Generate a matched age and sex cohort
diff --git a/reference/reexports.html b/reference/reexports.html
index 3fa73ab5..e9f11f9e 100644
--- a/reference/reexports.html
+++ b/reference/reexports.html
@@ -42,9 +42,16 @@
- Introduction
- Building base cohorts
- - Applying cohort restrictions
- - Generate a matched age and sex cohort
- - Cohort manipulations
+ - a02_require_specific_cohort_entry
+ - a03_require_in_date_range
+ - a03_require_demographics
+ - a04_require_intersections
+ - a04_update_cohort_start_end
+ - a05_concatanate_cohorts
+ - a06_filter_cohorts
+ - a07_split_cohorts
+ - a08_combine_cohorts
+ - Generate a matched age and sex cohort
diff --git a/reference/requireAge.html b/reference/requireAge.html
index 4002faaa..24fac0ff 100644
--- a/reference/requireAge.html
+++ b/reference/requireAge.html
@@ -22,9 +22,16 @@
- Introduction
- Building base cohorts
- - Applying cohort restrictions
- - Generate a matched age and sex cohort
- - Cohort manipulations
+ - a02_require_specific_cohort_entry
+ - a03_require_in_date_range
+ - a03_require_demographics
+ - a04_require_intersections
+ - a04_update_cohort_start_end
+ - a05_concatanate_cohorts
+ - a06_filter_cohorts
+ - a07_split_cohorts
+ - a08_combine_cohorts
+ - Generate a matched age and sex cohort
diff --git a/reference/requireCohortIntersect.html b/reference/requireCohortIntersect.html
index f4301f84..4304aa4d 100644
--- a/reference/requireCohortIntersect.html
+++ b/reference/requireCohortIntersect.html
@@ -24,9 +24,16 @@
- Introduction
- Building base cohorts
- - Applying cohort restrictions
- - Generate a matched age and sex cohort
- - Cohort manipulations
+ - a02_require_specific_cohort_entry
+ - a03_require_in_date_range
+ - a03_require_demographics
+ - a04_require_intersections
+ - a04_update_cohort_start_end
+ - a05_concatanate_cohorts
+ - a06_filter_cohorts
+ - a07_split_cohorts
+ - a08_combine_cohorts
+ - Generate a matched age and sex cohort
diff --git a/reference/requireConceptIntersect.html b/reference/requireConceptIntersect.html
index 4cc7cd80..a5768b46 100644
--- a/reference/requireConceptIntersect.html
+++ b/reference/requireConceptIntersect.html
@@ -24,9 +24,16 @@
- Introduction
- Building base cohorts
- - Applying cohort restrictions
- - Generate a matched age and sex cohort
- - Cohort manipulations
+ - a02_require_specific_cohort_entry
+ - a03_require_in_date_range
+ - a03_require_demographics
+ - a04_require_intersections
+ - a04_update_cohort_start_end
+ - a05_concatanate_cohorts
+ - a06_filter_cohorts
+ - a07_split_cohorts
+ - a08_combine_cohorts
+ - Generate a matched age and sex cohort
diff --git a/reference/requireDeathFlag.html b/reference/requireDeathFlag.html
index c403a061..35c2207e 100644
--- a/reference/requireDeathFlag.html
+++ b/reference/requireDeathFlag.html
@@ -24,9 +24,16 @@
- Introduction
- Building base cohorts
- - Applying cohort restrictions
- - Generate a matched age and sex cohort
- - Cohort manipulations
+ - a02_require_specific_cohort_entry
+ - a03_require_in_date_range
+ - a03_require_demographics
+ - a04_require_intersections
+ - a04_update_cohort_start_end
+ - a05_concatanate_cohorts
+ - a06_filter_cohorts
+ - a07_split_cohorts
+ - a08_combine_cohorts
+ - Generate a matched age and sex cohort
diff --git a/reference/requireDemographics.html b/reference/requireDemographics.html
index b76dad80..2ad14954 100644
--- a/reference/requireDemographics.html
+++ b/reference/requireDemographics.html
@@ -22,9 +22,16 @@
- Introduction
- Building base cohorts
- - Applying cohort restrictions
- - Generate a matched age and sex cohort
- - Cohort manipulations
+ - a02_require_specific_cohort_entry
+ - a03_require_in_date_range
+ - a03_require_demographics
+ - a04_require_intersections
+ - a04_update_cohort_start_end
+ - a05_concatanate_cohorts
+ - a06_filter_cohorts
+ - a07_split_cohorts
+ - a08_combine_cohorts
+ - Generate a matched age and sex cohort
diff --git a/reference/requireFutureObservation.html b/reference/requireFutureObservation.html
index 62e2f283..a1e03a14 100644
--- a/reference/requireFutureObservation.html
+++ b/reference/requireFutureObservation.html
@@ -22,9 +22,16 @@
- Introduction
- Building base cohorts
- - Applying cohort restrictions
- - Generate a matched age and sex cohort
- - Cohort manipulations
+ - a02_require_specific_cohort_entry
+ - a03_require_in_date_range
+ - a03_require_demographics
+ - a04_require_intersections
+ - a04_update_cohort_start_end
+ - a05_concatanate_cohorts
+ - a06_filter_cohorts
+ - a07_split_cohorts
+ - a08_combine_cohorts
+ - Generate a matched age and sex cohort
diff --git a/reference/requireInDateRange.html b/reference/requireInDateRange.html
index e77a46fd..d7ddc31f 100644
--- a/reference/requireInDateRange.html
+++ b/reference/requireInDateRange.html
@@ -22,9 +22,16 @@
- Introduction
- Building base cohorts
- - Applying cohort restrictions
- - Generate a matched age and sex cohort
- - Cohort manipulations
+ - a02_require_specific_cohort_entry
+ - a03_require_in_date_range
+ - a03_require_demographics
+ - a04_require_intersections
+ - a04_update_cohort_start_end
+ - a05_concatanate_cohorts
+ - a06_filter_cohorts
+ - a07_split_cohorts
+ - a08_combine_cohorts
+ - Generate a matched age and sex cohort
diff --git a/reference/requireIsEntry.html b/reference/requireIsEntry.html
index 69ea18a7..85979b82 100644
--- a/reference/requireIsEntry.html
+++ b/reference/requireIsEntry.html
@@ -22,9 +22,16 @@
- Introduction
- Building base cohorts
- - Applying cohort restrictions
- - Generate a matched age and sex cohort
- - Cohort manipulations
+ - a02_require_specific_cohort_entry
+ - a03_require_in_date_range
+ - a03_require_demographics
+ - a04_require_intersections
+ - a04_update_cohort_start_end
+ - a05_concatanate_cohorts
+ - a06_filter_cohorts
+ - a07_split_cohorts
+ - a08_combine_cohorts
+ - Generate a matched age and sex cohort
diff --git a/reference/requireIsFirstEntry.html b/reference/requireIsFirstEntry.html
index 57eb6c9c..af18a101 100644
--- a/reference/requireIsFirstEntry.html
+++ b/reference/requireIsFirstEntry.html
@@ -22,9 +22,16 @@
- Introduction
- Building base cohorts
- - Applying cohort restrictions
- - Generate a matched age and sex cohort
- - Cohort manipulations
+ - a02_require_specific_cohort_entry
+ - a03_require_in_date_range
+ - a03_require_demographics
+ - a04_require_intersections
+ - a04_update_cohort_start_end
+ - a05_concatanate_cohorts
+ - a06_filter_cohorts
+ - a07_split_cohorts
+ - a08_combine_cohorts
+ - Generate a matched age and sex cohort
diff --git a/reference/requireIsLastEntry.html b/reference/requireIsLastEntry.html
index 35a77578..bfe97355 100644
--- a/reference/requireIsLastEntry.html
+++ b/reference/requireIsLastEntry.html
@@ -22,9 +22,16 @@
- Introduction
- Building base cohorts
- - Applying cohort restrictions
- - Generate a matched age and sex cohort
- - Cohort manipulations
+ - a02_require_specific_cohort_entry
+ - a03_require_in_date_range
+ - a03_require_demographics
+ - a04_require_intersections
+ - a04_update_cohort_start_end
+ - a05_concatanate_cohorts
+ - a06_filter_cohorts
+ - a07_split_cohorts
+ - a08_combine_cohorts
+ - Generate a matched age and sex cohort
diff --git a/reference/requirePriorObservation.html b/reference/requirePriorObservation.html
index 5c1df5b8..93402d87 100644
--- a/reference/requirePriorObservation.html
+++ b/reference/requirePriorObservation.html
@@ -22,9 +22,16 @@
- Introduction
- Building base cohorts
- - Applying cohort restrictions
- - Generate a matched age and sex cohort
- - Cohort manipulations
+ - a02_require_specific_cohort_entry
+ - a03_require_in_date_range
+ - a03_require_demographics
+ - a04_require_intersections
+ - a04_update_cohort_start_end
+ - a05_concatanate_cohorts
+ - a06_filter_cohorts
+ - a07_split_cohorts
+ - a08_combine_cohorts
+ - Generate a matched age and sex cohort
diff --git a/reference/requireSex.html b/reference/requireSex.html
index 4698e492..2a0d0bf5 100644
--- a/reference/requireSex.html
+++ b/reference/requireSex.html
@@ -22,9 +22,16 @@
- Introduction
- Building base cohorts
- - Applying cohort restrictions
- - Generate a matched age and sex cohort
- - Cohort manipulations
+ - a02_require_specific_cohort_entry
+ - a03_require_in_date_range
+ - a03_require_demographics
+ - a04_require_intersections
+ - a04_update_cohort_start_end
+ - a05_concatanate_cohorts
+ - a06_filter_cohorts
+ - a07_split_cohorts
+ - a08_combine_cohorts
+ - Generate a matched age and sex cohort
diff --git a/reference/requireTableIntersect.html b/reference/requireTableIntersect.html
index 7ededead..f606a069 100644
--- a/reference/requireTableIntersect.html
+++ b/reference/requireTableIntersect.html
@@ -24,9 +24,16 @@
- Introduction
- Building base cohorts
- - Applying cohort restrictions
- - Generate a matched age and sex cohort
- - Cohort manipulations
+ - a02_require_specific_cohort_entry
+ - a03_require_in_date_range
+ - a03_require_demographics
+ - a04_require_intersections
+ - a04_update_cohort_start_end
+ - a05_concatanate_cohorts
+ - a06_filter_cohorts
+ - a07_split_cohorts
+ - a08_combine_cohorts
+ - Generate a matched age and sex cohort
diff --git a/reference/sampleCohorts.html b/reference/sampleCohorts.html
index 970ea07e..d6d80299 100644
--- a/reference/sampleCohorts.html
+++ b/reference/sampleCohorts.html
@@ -22,9 +22,16 @@
- Introduction
- Building base cohorts
- - Applying cohort restrictions
- - Generate a matched age and sex cohort
- - Cohort manipulations
+ - a02_require_specific_cohort_entry
+ - a03_require_in_date_range
+ - a03_require_demographics
+ - a04_require_intersections
+ - a04_update_cohort_start_end
+ - a05_concatanate_cohorts
+ - a06_filter_cohorts
+ - a07_split_cohorts
+ - a08_combine_cohorts
+ - Generate a matched age and sex cohort
@@ -90,16 +97,16 @@ Examples#> # Database: DuckDB v1.0.0 [unknown@Linux 6.5.0-1025-azure:R 4.4.1/:memory:]
#> cohort_definition_id subject_id cohort_start_date cohort_end_date
#> <int> <int> <date> <date>
-#> 1 1 6 2011-03-07 2014-01-24
-#> 2 1 7 2014-03-08 2014-03-19
-#> 3 1 13 2014-06-24 2014-06-29
-#> 4 1 13 2014-06-30 2014-08-07
-#> 5 1 17 2017-03-28 2017-04-05
-#> 6 1 22 1993-09-22 1994-04-10
-#> 7 1 22 1994-04-11 1996-04-26
-#> 8 1 22 1996-04-27 1999-08-31
-#> 9 1 31 2013-03-29 2014-02-09
-#> 10 1 60 1974-02-12 1979-10-10
+#> 1 1 1 2001-02-15 2001-10-28
+#> 2 1 1 2001-10-29 2003-03-15
+#> 3 1 1 2003-03-16 2005-02-08
+#> 4 1 34 2017-05-28 2017-07-27
+#> 5 1 34 2017-07-28 2017-08-05
+#> 6 1 34 2017-08-06 2017-10-02
+#> 7 1 42 2000-09-08 2001-02-17
+#> 8 1 42 2001-02-18 2002-07-13
+#> 9 1 42 2002-07-14 2003-12-16
+#> 10 1 43 2014-07-06 2014-07-20
#> # ℹ more rows
# }
diff --git a/reference/stratifyCohorts.html b/reference/stratifyCohorts.html
index 6d25b8d7..c9cc0d71 100644
--- a/reference/stratifyCohorts.html
+++ b/reference/stratifyCohorts.html
@@ -22,9 +22,16 @@
- Introduction
- Building base cohorts
- - Applying cohort restrictions
- - Generate a matched age and sex cohort
- - Cohort manipulations
+ - a02_require_specific_cohort_entry
+ - a03_require_in_date_range
+ - a03_require_demographics
+ - a04_require_intersections
+ - a04_update_cohort_start_end
+ - a05_concatanate_cohorts
+ - a06_filter_cohorts
+ - a07_split_cohorts
+ - a08_combine_cohorts
+ - Generate a matched age and sex cohort
diff --git a/reference/subsetCohorts.html b/reference/subsetCohorts.html
index c40cdedf..04a01986 100644
--- a/reference/subsetCohorts.html
+++ b/reference/subsetCohorts.html
@@ -22,9 +22,16 @@
- Introduction
- Building base cohorts
- - Applying cohort restrictions
- - Generate a matched age and sex cohort
- - Cohort manipulations
+ - a02_require_specific_cohort_entry
+ - a03_require_in_date_range
+ - a03_require_demographics
+ - a04_require_intersections
+ - a04_update_cohort_start_end
+ - a05_concatanate_cohorts
+ - a06_filter_cohorts
+ - a07_split_cohorts
+ - a08_combine_cohorts
+ - Generate a matched age and sex cohort
diff --git a/reference/trimDemographics.html b/reference/trimDemographics.html
index 03453dda..c636ba1d 100644
--- a/reference/trimDemographics.html
+++ b/reference/trimDemographics.html
@@ -22,9 +22,16 @@
- Introduction
- Building base cohorts
- - Applying cohort restrictions
- - Generate a matched age and sex cohort
- - Cohort manipulations
+ - a02_require_specific_cohort_entry
+ - a03_require_in_date_range
+ - a03_require_demographics
+ - a04_require_intersections
+ - a04_update_cohort_start_end
+ - a05_concatanate_cohorts
+ - a06_filter_cohorts
+ - a07_split_cohorts
+ - a08_combine_cohorts
+ - Generate a matched age and sex cohort
@@ -120,16 +127,16 @@ Examples#> # Database: DuckDB v1.0.0 [unknown@Linux 6.5.0-1025-azure:R 4.4.1/:memory:]
#> cohort_definition_id subject_id cohort_start_date cohort_end_date
#> <int> <int> <date> <date>
-#> 1 1 43 2014-10-05 2015-09-27
-#> 2 1 48 1970-07-29 1974-01-28
-#> 3 1 64 1993-05-18 2001-05-18
-#> 4 1 75 1974-01-17 1974-10-19
-#> 5 1 43 2014-07-21 2014-10-04
-#> 6 1 29 2006-11-24 2008-03-21
-#> 7 1 43 2014-07-06 2014-07-20
-#> 8 1 29 2006-10-02 2006-11-23
-#> 9 1 29 2006-07-07 2006-10-01
-#> 10 1 14 1987-12-15 1988-03-19
+#> 1 1 10 2019-12-04 2019-12-14
+#> 2 1 15 1982-07-12 2000-06-12
+#> 3 1 23 2001-02-04 2004-06-17
+#> 4 1 32 1991-09-11 1998-11-05
+#> 5 1 38 1990-05-01 1994-07-14
+#> 6 1 45 2004-01-18 2007-09-06
+#> 7 1 65 2005-09-21 2007-05-16
+#> 8 1 68 2017-11-14 2017-11-21
+#> 9 1 76 1983-02-17 1985-09-01
+#> 10 1 82 2001-02-23 2003-03-17
#> # ℹ more rows
# }
diff --git a/reference/trimToDateRange.html b/reference/trimToDateRange.html
index 16e27e56..93e53e50 100644
--- a/reference/trimToDateRange.html
+++ b/reference/trimToDateRange.html
@@ -22,9 +22,16 @@
- Introduction
- Building base cohorts
- - Applying cohort restrictions
- - Generate a matched age and sex cohort
- - Cohort manipulations
+ - a02_require_specific_cohort_entry
+ - a03_require_in_date_range
+ - a03_require_demographics
+ - a04_require_intersections
+ - a04_update_cohort_start_end
+ - a05_concatanate_cohorts
+ - a06_filter_cohorts
+ - a07_split_cohorts
+ - a08_combine_cohorts
+ - Generate a matched age and sex cohort
diff --git a/reference/unionCohorts.html b/reference/unionCohorts.html
index 2549e292..9dc1650f 100644
--- a/reference/unionCohorts.html
+++ b/reference/unionCohorts.html
@@ -24,9 +24,16 @@
- Introduction
- Building base cohorts
- - Applying cohort restrictions
- - Generate a matched age and sex cohort
- - Cohort manipulations
+ - a02_require_specific_cohort_entry
+ - a03_require_in_date_range
+ - a03_require_demographics
+ - a04_require_intersections
+ - a04_update_cohort_start_end
+ - a05_concatanate_cohorts
+ - a06_filter_cohorts
+ - a07_split_cohorts
+ - a08_combine_cohorts
+ - Generate a matched age and sex cohort
diff --git a/reference/yearCohorts.html b/reference/yearCohorts.html
index 359db77a..72ae87b6 100644
--- a/reference/yearCohorts.html
+++ b/reference/yearCohorts.html
@@ -20,9 +20,16 @@
- Introduction
- Building base cohorts
- - Applying cohort restrictions
- - Generate a matched age and sex cohort
- - Cohort manipulations
+ - a02_require_specific_cohort_entry
+ - a03_require_in_date_range
+ - a03_require_demographics
+ - a04_require_intersections
+ - a04_update_cohort_start_end
+ - a05_concatanate_cohorts
+ - a06_filter_cohorts
+ - a07_split_cohorts
+ - a08_combine_cohorts
+ - Generate a matched age and sex cohort
diff --git a/search.json b/search.json
index c0a08298..a3f00282 100644
--- a/search.json
+++ b/search.json
@@ -1 +1 @@
-[{"path":"https://ohdsi.github.io/CohortConstructor/LICENSE.html","id":null,"dir":"","previous_headings":"","what":"Apache License","title":"Apache License","text":"Version 2.0, January 2004 #> 1 1 demographics 18_65 cohortCount(cdm$working_age_cohort) #> # A tibble: 1 × 3 #> cohort_definition_id number_records number_subjects #> #> 1 1 2694 2694 attrition(cdm$working_age_cohort) #> # A tibble: 2 × 7 #> cohort_definition_id number_records number_subjects reason_id reason #> #> 1 1 2694 2694 1 Initial qualify… #> 2 1 2694 2694 2 Age requirement… #> # ℹ 2 more variables: excluded_records , excluded_subjects cdm$working_age_cohort |> addAge(indexDate = \"cohort_start_date\") |> summarise(min_start_age = min(age), median_start_age = median(age), max_start_age = max(age)) #> # Source: SQL [1 x 3] #> # Database: DuckDB v1.0.0 [unknown@Linux 6.5.0-1025-azure:R 4.4.1//tmp/RtmppZc00w/file1a194e3956b.duckdb] #> min_start_age median_start_age max_start_age #> #> 1 17 18 18 cdm$working_age_cohort |> addAge(indexDate = \"cohort_end_date\") |> summarise(min_start_age = min(age), median_start_age = median(age), max_start_age = max(age)) #> # Source: SQL [1 x 3] #> # Database: DuckDB v1.0.0 [unknown@Linux 6.5.0-1025-azure:R 4.4.1//tmp/RtmppZc00w/file1a194e3956b.duckdb] #> min_start_age median_start_age max_start_age #> #> 1 31 57 65"},{"path":"https://ohdsi.github.io/CohortConstructor/articles/a01_building_base_cohorts.html","id":"concept-based-cohort-creation","dir":"Articles","previous_headings":"","what":"Concept based cohort creation","title":"Building base cohorts","text":"","code":"drug_codes <- getDrugIngredientCodes(cdm, name = c(\"diclofenac\", \"acetaminophen\")) drug_codes #> #> - 161_acetaminophen (7 codes) #> - 3355_diclofenac (1 codes) cdm$medications <- conceptCohort(cdm = cdm, conceptSet = drug_codes, name = \"medications\") settings(cdm$medications) #> # A tibble: 2 × 4 #> cohort_definition_id cohort_name cdm_version vocabulary_version #> #> 1 1 161_acetaminophen 5.3 v5.0 18-JAN-19 #> 2 2 3355_diclofenac 5.3 v5.0 18-JAN-19 cohortCount(cdm$medications) #> # A tibble: 2 × 3 #> cohort_definition_id number_records number_subjects #> #> 1 1 13908 2679 #> 2 2 830 830"},{"path":[]},{"path":"https://ohdsi.github.io/CohortConstructor/articles/a02_applying_cohort_restrictions.html","id":"keep-only-the-first-record-per-person","dir":"Articles","previous_headings":"","what":"Keep only the first record per person","title":"Applying cohort restrictions","text":"Individuals can contribute multiple records per cohort. However now ’ll keep earliest cohort entry remaining records using requireIsFirstEntry() CohortConstructor. can see one record per person cohort. Note, applying criteria later applying criteria result different result. ’re requiring individuals meet inclusion criteria time first use diclofenac acetaminophen.","code":"cdm$medications <- cdm$medications %>% requireIsFirstEntry() cohortCount(cdm$medications) #> # A tibble: 2 × 3 #> cohort_definition_id number_records number_subjects #> #> 1 1 2580 2580 #> 2 2 830 830"},{"path":"https://ohdsi.github.io/CohortConstructor/articles/a02_applying_cohort_restrictions.html","id":"applying-restrictions-on-patient-demographics","dir":"Articles","previous_headings":"","what":"Applying restrictions on patient demographics","title":"Applying cohort restrictions","text":"Using requireDemographics() ’ll require individuals medications cohort female , relative cohort start date, 18 85 least 30 days prior observation time database. can see many people people excluded based demographic requirements.","code":"cdm$medications <- cdm$medications %>% requireDemographics(indexDate = \"cohort_start_date\", ageRange = list(c(18, 85)), sex = \"Female\", minPriorObservation = 30) cohort_attrition(cdm$medications) %>% dplyr::filter(reason == \"Demographic requirements\") %>% dplyr::glimpse() #> Rows: 0 #> Columns: 7 #> $ cohort_definition_id #> $ number_records #> $ number_subjects #> $ reason_id #> $ reason #> $ excluded_records #> $ excluded_subjects "},{"path":"https://ohdsi.github.io/CohortConstructor/articles/a02_applying_cohort_restrictions.html","id":"restrictions-on-calendar-dates","dir":"Articles","previous_headings":"","what":"Restrictions on calendar dates","title":"Applying cohort restrictions","text":"Next can use requireInDateRange() keep records cohort entry particular date range. , can track cohort attrition","code":"cdm$medications <- cdm$medications %>% requireInDateRange(indexDate = \"cohort_start_date\", dateRange = as.Date(c(\"2000-01-01\", \"2015-01-01\"))) cohort_attrition(cdm$medications) %>% dplyr::filter(reason == \"cohort_start_date between 2000-01-01 and 2015-01-01\") %>% dplyr::glimpse() #> Rows: 0 #> Columns: 7 #> $ cohort_definition_id #> $ number_records #> $ number_subjects #> $ reason_id #> $ reason #> $ excluded_records #> $ excluded_subjects "},{"path":"https://ohdsi.github.io/CohortConstructor/articles/a02_applying_cohort_restrictions.html","id":"restrictions-on-cohort-presence","dir":"Articles","previous_headings":"","what":"Restrictions on cohort presence","title":"Applying cohort restrictions","text":"require individuals medication cohorts history GI bleed. can use requireCohortIntersect() function, requiring individuals one intersections GI bleed cohort. Instead requiring individuals history GI bleed, instead require don’t history . case can use requireCohortIntersect() function, time set intersections argument 0 require individuals’ absence cohort rather presence .","code":"cdm$medications_gi_bleed <- cdm$medications %>% requireCohortIntersect(intersections = c(1,Inf), targetCohortTable = \"gi_bleed\", targetCohortId = 1, indexDate = \"cohort_start_date\", window = c(-Inf, 0), name = \"medications_gi_bleed\") cohort_count(cdm$medications_gi_bleed) #> # A tibble: 2 × 3 #> cohort_definition_id number_records number_subjects #> #> 1 1 0 0 #> 2 2 0 0 cdm$medications_no_gi_bleed <- cdm$medications %>% requireCohortIntersect(intersections = 0, targetCohortTable = \"gi_bleed\", targetCohortId = 1, indexDate = \"cohort_start_date\", window = c(-Inf, 0), name = \"medications_no_gi_bleed\") cohort_count(cdm$medications_no_gi_bleed) #> # A tibble: 2 × 3 #> cohort_definition_id number_records number_subjects #> #> 1 1 101 101 #> 2 2 179 179"},{"path":"https://ohdsi.github.io/CohortConstructor/articles/a03_age_sex_matching.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Generate a matched age and sex cohort","text":"CohortConstructor packages includes function obtain age sex matched cohort, generateMatchedCohortSet() function. vignette, explore usage function.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/articles/a03_age_sex_matching.html","id":"create-mock-data","dir":"Articles","previous_headings":"Introduction","what":"Create mock data","title":"Generate a matched age and sex cohort","text":"first use mockDrugUtilisation() function DrugUtilisation package create mock data. use cohort1 explore generateMatchedCohortSet(), let us first use cohort_attrition() CDMConnector package explore cohort:","code":"library(CohortConstructor) library(dplyr) cdm <- mockCohortConstructor(nPerson = 1000) CDMConnector::cohort_set(cdm$cohort1)"},{"path":"https://ohdsi.github.io/CohortConstructor/articles/a03_age_sex_matching.html","id":"use-generatematchedcohortset-to-create-an-age-sex-matched-cohort","dir":"Articles","previous_headings":"","what":"Use generateMatchedCohortSet() to create an age-sex matched cohort","title":"Generate a matched age and sex cohort","text":"Let us first see example function works. usage, need provide cdm object, targetCohortName, name table containing cohort interest, name new generated tibble containing cohort matched cohort. also use argument targetCohortId specify want matched cohort cohort_definition_id = 1. Notice generated tibble, two cohorts: cohort_definition_id = 1 (original cohort), cohort_definition_id = 4 (matched cohort). target_cohort_name column indicates original cohort. match_sex match_year_of_birth adopt boolean values (TRUE/FALSE) indicating matched sex age, . match_status indicate original cohort (target) matched cohort (matched). target_cohort_id indicates cohort_id original cohort. Check exclusion criteria applied generate new cohorts using cohort_attrition() CDMConnector package: Briefly, original cohort, exclude first individuals match, individuals matching pair observation assigned cohort_start_date. matched cohort, start whole database first exclude individuals original cohort. Afterwards, exclude individuals match, individuals observation assigned cohort_start_date, finally remove many individuals required fulfill ratio. Notice matching pairs randomly assigned, probable every time execute function, generated cohorts change. Use set.seed() avoid .","code":"cdm$matched_cohort1 <- matchCohorts( cohort = cdm$cohort1, cohortId = 1, name = \"matched_cohort1\") CDMConnector::cohort_set(cdm$matched_cohort1) # Original cohort CDMConnector::cohort_attrition(cdm$matched_cohort1) %>% filter(cohort_definition_id == 1) # Matched cohort CDMConnector::cohort_attrition(cdm$matched_cohort1) %>% filter(cohort_definition_id == 4)"},{"path":"https://ohdsi.github.io/CohortConstructor/articles/a03_age_sex_matching.html","id":"matchsex-parameter","dir":"Articles","previous_headings":"Use generateMatchedCohortSet() to create an age-sex matched cohort","what":"matchSex parameter","title":"Generate a matched age and sex cohort","text":"matchSex boolean parameter (TRUE/FALSE) indicating want match sex (TRUE) want (FALSE).","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/articles/a03_age_sex_matching.html","id":"matchyear-parameter","dir":"Articles","previous_headings":"Use generateMatchedCohortSet() to create an age-sex matched cohort","what":"matchYear parameter","title":"Generate a matched age and sex cohort","text":"matchYear another boolean parameter (TRUE/FALSE) indicating want match age (TRUE) want (FALSE). Notice matchSex = FALSE matchYear = FALSE, obtain unmatched comparator cohort.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/articles/a03_age_sex_matching.html","id":"ratio-parameter","dir":"Articles","previous_headings":"Use generateMatchedCohortSet() to create an age-sex matched cohort","what":"ratio parameter","title":"Generate a matched age and sex cohort","text":"default matching ratio 1:1 (ratio = 1). Use cohort_counts() CDMConnector check matching done desired. can modify ratio parameter tailor matched cohort. ratio can adopt values 1 Inf.","code":"CDMConnector::cohort_count(cdm$matched_cohort1) cdm$matched_cohort2 <- matchCohorts( cohort = cdm$cohort1, cohortId = 1, name = \"matched_cohort2\", ratio = Inf) CDMConnector::cohort_count(cdm$matched_cohort2)"},{"path":"https://ohdsi.github.io/CohortConstructor/articles/a03_age_sex_matching.html","id":"generate-matched-cohorts-simultaneously-across-multiple-cohorts","dir":"Articles","previous_headings":"Use generateMatchedCohortSet() to create an age-sex matched cohort","what":"Generate matched cohorts simultaneously across multiple cohorts","title":"Generate a matched age and sex cohort","text":"functionalities can implemented across multiple cohorts simultaneously. Specify targetCohortId parameter cohorts interest. set NULL, cohorts present targetCohortName matched. Notice cohort (independent cohorts) matched cohort.","code":"cdm$matched_cohort3 <- matchCohorts( cohort = cdm$cohort1, cohortId = c(1,3), name = \"matched_cohort3\", ratio = 2) CDMConnector::cohort_set(cdm$matched_cohort3) %>% arrange(cohort_definition_id) CDMConnector::cohort_count(cdm$matched_cohort3) %>% arrange(cohort_definition_id)"},{"path":"https://ohdsi.github.io/CohortConstructor/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Edward Burn. Author, maintainer. Marti Catala. Author. Nuria Mercade-Besora. Author. Marta Alcalde-Herraiz. Author. Mike Du. Author. Yuchen Guo. Author. Xihang Chen. Author. Kim Lopez. Author.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Burn E, Catala M, Mercade-Besora N, Alcalde-Herraiz M, Du M, Guo Y, Chen X, Lopez K (2024). CohortConstructor: Build Manipulate Study Cohorts Using Common Data Model. R package version 0.2.2, https://ohdsi.github.io/CohortConstructor/.","code":"@Manual{, title = {CohortConstructor: Build and Manipulate Study Cohorts Using a Common Data Model}, author = {Edward Burn and Marti Catala and Nuria Mercade-Besora and Marta Alcalde-Herraiz and Mike Du and Yuchen Guo and Xihang Chen and Kim Lopez}, year = {2024}, note = {R package version 0.2.2}, url = {https://ohdsi.github.io/CohortConstructor/}, }"},{"path":"https://ohdsi.github.io/CohortConstructor/index.html","id":"cohortconstructor-","dir":"","previous_headings":"","what":"Build and Manipulate Study Cohorts Using a Common Data Model","title":"Build and Manipulate Study Cohorts Using a Common Data Model","text":"goal CohortConstructor support creation manipulation study cohorts data mapped OMOP CDM.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Build and Manipulate Study Cohorts Using a Common Data Model","text":"package can installed CRAN: can install development version package GitHub:","code":"install.packages(\"CohortConstructor\") # install.packages(\"devtools\") devtools::install_github(\"ohdsi/CohortConstructor\")"},{"path":"https://ohdsi.github.io/CohortConstructor/index.html","id":"creating-and-manipulating-cohorts","dir":"","previous_headings":"","what":"Creating and manipulating cohorts","title":"Build and Manipulate Study Cohorts Using a Common Data Model","text":"illustrate functionality provided CohortConstructor let’s create set fracture cohorts using Eunomia dataset. ’ll first load required packages create cdm reference data.","code":"library(omopgenerics) library(CDMConnector) library(PatientProfiles) library(dplyr) library(CohortConstructor) library(CohortCharacteristics) con <- DBI::dbConnect(duckdb::duckdb(), dbdir = eunomia_dir()) cdm <- cdm_from_con(con, cdm_schema = \"main\", write_schema = c(prefix = \"my_study_\", schema = \"main\")) cdm #> #> ── # OMOP CDM reference (duckdb) of Synthea synthetic health database ────────── #> • omop tables: person, observation_period, visit_occurrence, visit_detail, #> condition_occurrence, drug_exposure, procedure_occurrence, device_exposure, #> measurement, observation, death, note, note_nlp, specimen, fact_relationship, #> location, care_site, provider, payer_plan_period, cost, drug_era, dose_era, #> condition_era, metadata, cdm_source, concept, vocabulary, domain, #> concept_class, concept_relationship, relationship, concept_synonym, #> concept_ancestor, source_to_concept_map, drug_strength #> • cohort tables: - #> • achilles tables: - #> • other tables: -"},{"path":"https://ohdsi.github.io/CohortConstructor/index.html","id":"generating-concept-based-fracture-cohorts","dir":"","previous_headings":"Creating and manipulating cohorts","what":"Generating concept-based fracture cohorts","title":"Build and Manipulate Study Cohorts Using a Common Data Model","text":"start making simple concept-based cohort fracture interest. First create codelist ankle, forearm hip fractures (note, just use one code using synthetic data). Now can quickly create set cohorts fracture type. need provide codes defined get cohort back, cohort end date set event date associated records, overlapping records collapsed, records observation kept. can see starting cohorts, add additional restrictions, following associated settings, counts, attrition.","code":"fracture_codes <- newCodelist(list(\"ankle_fracture\" = 4059173L, \"forearm_fracture\" = 4278672L, \"hip_fracture\" = 4230399L)) fracture_codes #> #> ── 3 codelists ───────────────────────────────────────────────────────────────── #> #> - ankle_fracture (1 codes) #> - forearm_fracture (1 codes) #> - hip_fracture (1 codes) cdm$fractures <- cdm |> conceptCohort(conceptSet = fracture_codes, name = \"fractures\") settings(cdm$fractures) %>% glimpse() #> Rows: 3 #> Columns: 4 #> $ cohort_definition_id 1, 2, 3 #> $ cohort_name \"ankle_fracture\", \"forearm_fracture\", \"hip_fractu… #> $ cdm_version \"5.3\", \"5.3\", \"5.3\" #> $ vocabulary_version \"v5.0 18-JAN-19\", \"v5.0 18-JAN-19\", \"v5.0 18-JAN-… cohort_count(cdm$fractures) %>% glimpse() #> Rows: 3 #> Columns: 3 #> $ cohort_definition_id 1, 2, 3 #> $ number_records 462, 565, 137 #> $ number_subjects 426, 508, 132 attrition(cdm$fractures) %>% glimpse() #> Rows: 9 #> Columns: 7 #> $ cohort_definition_id 1, 1, 1, 2, 2, 2, 3, 3, 3 #> $ number_records 462, 462, 462, 565, 565, 565, 137, 137, 137 #> $ number_subjects 426, 426, 426, 508, 508, 508, 132, 132, 132 #> $ reason_id 1, 2, 3, 1, 2, 3, 1, 2, 3 #> $ reason \"Initial qualifying events\", \"cohort requirements… #> $ excluded_records 0, 0, 0, 0, 0, 0, 0, 0, 0 #> $ excluded_subjects 0, 0, 0, 0, 0, 0, 0, 0, 0"},{"path":"https://ohdsi.github.io/CohortConstructor/index.html","id":"create-an-overall-fracture-cohort","dir":"","previous_headings":"Creating and manipulating cohorts","what":"Create an overall fracture cohort","title":"Build and Manipulate Study Cohorts Using a Common Data Model","text":"far created three separate fracture cohorts. Let’s say also want cohort people fractures. union three cohorts create overall cohort like :","code":"cdm$fractures <- unionCohorts(cdm$fractures, cohortName = \"any_fracture\", name =\"fractures\") settings(cdm$fractures) #> # A tibble: 1 × 3 #> cohort_definition_id cohort_name gap #> #> 1 1 any_fracture 0 cohortCount(cdm$fractures) #> # A tibble: 1 × 3 #> cohort_definition_id number_records number_subjects #> #> 1 1 1164 922"},{"path":"https://ohdsi.github.io/CohortConstructor/index.html","id":"require-in-date-range","dir":"","previous_headings":"Creating and manipulating cohorts","what":"Require in date range","title":"Build and Manipulate Study Cohorts Using a Common Data Model","text":"created base fracture cohort, can start applying additional cohort requirements. example, first can require individuals’ cohort start date fall within certain date range. Now ’ve applied date restriction, can see cohort attributes updated","code":"cdm$fractures <- cdm$fractures %>% requireInDateRange(dateRange = as.Date(c(\"2000-01-01\", \"2020-01-01\"))) cohort_count(cdm$fractures) %>% glimpse() #> Rows: 1 #> Columns: 3 #> $ cohort_definition_id 1 #> $ number_records 315 #> $ number_subjects 282 attrition(cdm$fractures) %>% filter(reason == \"cohort_start_date between 2000-01-01 & 2020-01-01\") %>% glimpse() #> Rows: 0 #> Columns: 7 #> $ cohort_definition_id #> $ number_records #> $ number_subjects #> $ reason_id #> $ reason #> $ excluded_records #> $ excluded_subjects "},{"path":"https://ohdsi.github.io/CohortConstructor/index.html","id":"applying-demographic-requirements","dir":"","previous_headings":"Creating and manipulating cohorts","what":"Applying demographic requirements","title":"Build and Manipulate Study Cohorts Using a Common Data Model","text":"can also add restrictions patient characteristics age (cohort start date default) sex. can see many individuals ’ve lost applying criteria.","code":"cdm$fractures <- cdm$fractures %>% requireDemographics(ageRange = list(c(40, 65)), sex = \"Female\") attrition(cdm$fractures) %>% filter(reason == \"Age requirement: 40 to 65\") %>% glimpse() #> Rows: 1 #> Columns: 7 #> $ cohort_definition_id 1 #> $ number_records 124 #> $ number_subjects 118 #> $ reason_id 4 #> $ reason \"Age requirement: 40 to 65\" #> $ excluded_records 191 #> $ excluded_subjects 164 attrition(cdm$fractures) %>% filter(reason == \"Sex requirement: Female\") %>% glimpse() #> Rows: 1 #> Columns: 7 #> $ cohort_definition_id 1 #> $ number_records 64 #> $ number_subjects 62 #> $ reason_id 5 #> $ reason \"Sex requirement: Female\" #> $ excluded_records 60 #> $ excluded_subjects 56"},{"path":"https://ohdsi.github.io/CohortConstructor/index.html","id":"require-presence-in-another-cohort","dir":"","previous_headings":"Creating and manipulating cohorts","what":"Require presence in another cohort","title":"Build and Manipulate Study Cohorts Using a Common Data Model","text":"can also require individuals () another cohort window. example require study participants GI bleed cohort time prior entry fractures cohort.","code":"cdm$gibleed <- cdm |> conceptCohort(conceptSet = list(\"gibleed\" = 192671L), name = \"gibleed\") cdm$fractures <- cdm$fractures %>% requireCohortIntersect(targetCohortTable = \"gibleed\", intersections = 0, window = c(-Inf, 0)) attrition(cdm$fractures) %>% filter(reason == \"Not in cohort gibleed between -Inf & 0 days relative to cohort_start_date\") %>% glimpse() #> Rows: 1 #> Columns: 7 #> $ cohort_definition_id 1 #> $ number_records 64 #> $ number_subjects 62 #> $ reason_id 8 #> $ reason \"Not in cohort gibleed between -Inf & 0 days rela… #> $ excluded_records 0 #> $ excluded_subjects 0 cdmDisconnect(cdm)"},{"path":"https://ohdsi.github.io/CohortConstructor/index.html","id":"more-information","dir":"","previous_headings":"Creating and manipulating cohorts","what":"More information","title":"Build and Manipulate Study Cohorts Using a Common Data Model","text":"CohortConstructor provides much functionality creating manipulating cohorts. See package website details.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/CohortConstructor-package.html","id":null,"dir":"Reference","previous_headings":"","what":"CohortConstructor: Build and Manipulate Study Cohorts Using a Common Data Model — CohortConstructor-package","title":"CohortConstructor: Build and Manipulate Study Cohorts Using a Common Data Model — CohortConstructor-package","text":"Create manipulate study cohorts data mapped Observational Medical Outcomes Partnership Common Data Model.","code":""},{"path":[]},{"path":"https://ohdsi.github.io/CohortConstructor/reference/CohortConstructor-package.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"CohortConstructor: Build and Manipulate Study Cohorts Using a Common Data Model — CohortConstructor-package","text":"Maintainer: Edward Burn edward.burn@ndorms.ox.ac.uk (ORCID) Authors: Marti Catala marti.catalasabate@ndorms.ox.ac.uk (ORCID) Nuria Mercade-Besora nuria.mercadebesora@ndorms.ox.ac.uk (ORCID) Marta Alcalde-Herraiz marta.alcaldeherraiz@ndorms.ox.ac.uk (ORCID) Mike Du mike.du@ndorms.ox.ac.uk (ORCID) Yuchen Guo yuchen.guo@ndorms.ox.ac.uk (ORCID) Xihang Chen xihang.chen@ndorms.ox.ac.uk (ORCID) Kim Lopez kim.lopez@spc.ox.ac.uk (ORCID)","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/collapseCohorts.html","id":null,"dir":"Reference","previous_headings":"","what":"Collapse cohort entries using a certain gap to concatenate records. — collapseCohorts","title":"Collapse cohort entries using a certain gap to concatenate records. — collapseCohorts","text":"collapseCohorts() concatenates cohort records, allowing number days one finishing next starting.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/collapseCohorts.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Collapse cohort entries using a certain gap to concatenate records. — collapseCohorts","text":"","code":"collapseCohorts(cohort, cohortId = NULL, gap = 0, name = tableName(cohort))"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/collapseCohorts.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Collapse cohort entries using a certain gap to concatenate records. — collapseCohorts","text":"cohort cohort table cohortId IDs cohorts modify. NULL, cohorts used; otherwise, specified cohorts modified, rest remain unchanged. gap Number days use merging cohort entries. name Name cohort table.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/collapseCohorts.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Collapse cohort entries using a certain gap to concatenate records. — collapseCohorts","text":"cohort table","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/conceptCohort.html","id":null,"dir":"Reference","previous_headings":"","what":"Create cohorts based on a concept set — conceptCohort","title":"Create cohorts based on a concept set — conceptCohort","text":"conceptCohort() creates cohort table patient records clinical tables OMOP CDM. following tables currently supported creating concept cohorts: condition_occurrence device_exposure drug_exposure measurement observation procedure_occurrence visit_occurrence Cohort duration based record start end (e.g. condition_start_date condition_end_date records coming condition_occurrence tables). resulting table satisfies requirements OMOP CDM cohort table: Overlapping records collapsed single cohort entry. record starts outside observation period silently ignored. record ends outside observation period trimmed end preceding observation period end date.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/conceptCohort.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create cohorts based on a concept set — conceptCohort","text":"","code":"conceptCohort(cdm, conceptSet, name, exit = \"event_end_date\")"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/conceptCohort.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create cohorts based on a concept set — conceptCohort","text":"cdm cdm reference. conceptSet conceptSet, can either codelist conceptSetExpression. name Name cohort cdm object. exit cohort end date defined. Can either \"event_end_date\" \"event_start_date\".","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/conceptCohort.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create cohorts based on a concept set — conceptCohort","text":"cohort table","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/conceptCohort.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Create cohorts based on a concept set — conceptCohort","text":"","code":"# \\donttest{ library(CohortConstructor) cdm <- mockCohortConstructor(conditionOccurrence = TRUE) #> Note: method with signature ‘DBIConnection#Id’ chosen for function ‘dbExistsTable’, #> target signature ‘duckdb_connection#Id’. #> \"duckdb_connection#ANY\" would also be valid cohort <- conceptCohort(cdm = cdm, conceptSet = list(a = 1), name = \"cohort\") #> Warning: ! `codelist` contains numeric values, they are casted to integers. #> ℹ Subsetting table condition_occurrence using 1 concept with domain: condition. #> ℹ Combining tables. #> ℹ Creating cohort attributes. #> ℹ Applying cohort requirements. #> ℹ Collapsing records. #> ✔ Cohort cohort created. cohort |> attrition() #> # A tibble: 3 × 7 #> cohort_definition_id number_records number_subjects reason_id reason #> #> 1 1 10 7 1 Initial qualify… #> 2 1 10 7 2 cohort requirem… #> 3 1 7 7 3 Overlapping rec… #> # ℹ 2 more variables: excluded_records , excluded_subjects # }"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/demographicsCohort.html","id":null,"dir":"Reference","previous_headings":"","what":"Create cohorts based on patient demographics — demographicsCohort","title":"Create cohorts based on patient demographics — demographicsCohort","text":"demographicsCohort() creates cohort table based patient characteristics. individual satisfies criteria enter cohort. stop satisfying criteria cohort entry ends.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/demographicsCohort.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create cohorts based on patient demographics — demographicsCohort","text":"","code":"demographicsCohort( cdm, name, ageRange = NULL, sex = NULL, minPriorObservation = NULL )"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/demographicsCohort.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create cohorts based on patient demographics — demographicsCohort","text":"cdm cdm reference. name Name new cohort table ageRange list vectors specifying minimum maximum age. sex Can \"\", \"Male\" \"Female\". minPriorObservation minimum number prior observation days database.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/demographicsCohort.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create cohorts based on patient demographics — demographicsCohort","text":"cohort table","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/demographicsCohort.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Create cohorts based on patient demographics — demographicsCohort","text":"","code":"# \\donttest{ library(CohortConstructor) cdm <- mockCohortConstructor() cohort <- cdm |> demographicsCohort(name = \"cohort3\", ageRange = c(18,40), sex = \"Male\") #> ! cohort columns will be reordered to match the expected order: #> cohort_definition_id, subject_id, cohort_start_date, and cohort_end_date. #> ℹ Building new trimmed cohort #> Adding demographics information #> Creating initial cohort #> Trim sex #> Trim age #> ! cohort columns will be reordered to match the expected order: #> cohort_definition_id, subject_id, cohort_start_date, and cohort_end_date. #> ✔ Cohort trimmed attrition(cohort) #> # A tibble: 3 × 7 #> cohort_definition_id number_records number_subjects reason_id reason #> #> 1 1 10 10 1 Initial qualify… #> 2 1 5 5 2 Sex requirement… #> 3 1 4 4 3 Age requirement… #> # ℹ 2 more variables: excluded_records , excluded_subjects # }"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/entryAtFirstDate.html","id":null,"dir":"Reference","previous_headings":"","what":"Update cohort start date to be the first date from of a set of column dates — entryAtFirstDate","title":"Update cohort start date to be the first date from of a set of column dates — entryAtFirstDate","text":"entryAtFirstDate() resets cohort start date based set specified column dates. first date occurs chosen.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/entryAtFirstDate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Update cohort start date to be the first date from of a set of column dates — entryAtFirstDate","text":"","code":"entryAtFirstDate( cohort, dateColumns, cohortId = NULL, returnReason = TRUE, name = tableName(cohort) )"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/entryAtFirstDate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Update cohort start date to be the first date from of a set of column dates — entryAtFirstDate","text":"cohort cohort table cdm reference. dateColumns Date columns cohort table consider. cohortId IDs cohorts modify. NULL, cohorts used; otherwise, specified cohorts modified, rest remain unchanged. returnReason TRUE return column stating column dateColumns used new cohort end date. name Name new cohort restriction.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/entryAtFirstDate.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Update cohort start date to be the first date from of a set of column dates — entryAtFirstDate","text":"cohort table.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/entryAtFirstDate.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Update cohort start date to be the first date from of a set of column dates — entryAtFirstDate","text":"","code":"# \\donttest{ library(CohortConstructor) cdm <- mockCohortConstructor(tables = list( \"cohort\" = dplyr::tibble( cohort_definition_id = 1, subject_id = c(1, 2, 3, 4), cohort_start_date = as.Date(c(\"2000-06-03\", \"2000-01-01\", \"2015-01-15\", \"2000-12-09\")), cohort_end_date = as.Date(c(\"2001-09-01\", \"2001-01-12\", \"2015-02-15\", \"2002-12-09\")), date_1 = as.Date(c(\"2001-08-01\", \"2001-01-01\", \"2015-01-15\", \"2002-12-09\")), date_2 = as.Date(c(\"2001-08-01\", NA, \"2015-02-14\", \"2002-12-09\")) ) )) #> Warning: ! 7 column in person do not match expected column type: #> • `person_id` is numeric but expected integer #> • `gender_concept_id` is numeric but expected integer #> • `year_of_birth` is numeric but expected integer #> • `month_of_birth` is numeric but expected integer #> • `race_concept_id` is numeric but expected integer #> • `ethnicity_concept_id` is numeric but expected integer #> • `location_id` is numeric but expected integer #> Warning: ! 2 column in observation_period do not match expected column type: #> • `person_id` is numeric but expected integer #> • `period_type_concept_id` is numeric but expected integer #> Warning: ! 9 column in cdm_source do not match expected column type: #> • `cdm_source_abbreviation` is logical but expected character #> • `cdm_holder` is logical but expected character #> • `source_description` is logical but expected character #> • `source_documentation_reference` is logical but expected character #> • `cdm_etl_reference` is logical but expected character #> • `source_release_date` is logical but expected date #> • `cdm_release_date` is logical but expected date #> • `cdm_version` is numeric but expected character #> • `vocabulary_version` is logical but expected character #> Warning: ! 3 column in concept do not match expected column type: #> • `concept_id` is numeric but expected integer #> • `valid_start_date` is character but expected date #> • `valid_end_date` is character but expected date #> Warning: ! 1 column in vocabulary do not match expected column type: #> • `vocabulary_concept_id` is numeric but expected integer #> Warning: ! 5 column in concept_relationship do not match expected column type: #> • `concept_id_1` is numeric but expected integer #> • `concept_id_2` is numeric but expected integer #> • `valid_start_date` is logical but expected date #> • `valid_end_date` is logical but expected date #> • `invalid_reason` is logical but expected character #> Warning: ! 2 column in concept_synonym do not match expected column type: #> • `concept_id` is numeric but expected integer #> • `language_concept_id` is numeric but expected integer #> Warning: ! 4 column in concept_ancestor do not match expected column type: #> • `ancestor_concept_id` is numeric but expected integer #> • `descendant_concept_id` is numeric but expected integer #> • `min_levels_of_separation` is numeric but expected integer #> • `max_levels_of_separation` is numeric but expected integer #> Warning: ! 9 column in drug_strength do not match expected column type: #> • `drug_concept_id` is numeric but expected integer #> • `ingredient_concept_id` is numeric but expected integer #> • `amount_value` is logical but expected numeric #> • `amount_unit_concept_id` is numeric but expected integer #> • `numerator_unit_concept_id` is numeric but expected integer #> • `denominator_unit_concept_id` is numeric but expected integer #> • `box_size` is logical but expected integer #> • `valid_start_date` is logical but expected date #> • `valid_end_date` is logical but expected date #> Warning: ! 2 column in cohort do not match expected column type: #> • `cohort_definition_id` is numeric but expected integer #> • `subject_id` is numeric but expected integer #> Warning: ! 2 column in person do not match expected column type: #> • `person_id` is numeric but expected integer #> • `location_id` is numeric but expected integer #> Warning: ! 1 column in observation_period do not match expected column type: #> • `person_id` is numeric but expected integer #> Warning: ! 2 column in cohort do not match expected column type: #> • `cohort_definition_id` is numeric but expected integer #> • `subject_id` is numeric but expected integer cdm$cohort |> entryAtLastDate(dateColumns = c(\"date_1\", \"date_2\")) #> Warning: ! 2 column in cohort do not match expected column type: #> • `cohort_definition_id` is numeric but expected integer #> • `subject_id` is numeric but expected integer #> # Source: table [4 x 5] #> # Database: DuckDB v1.0.0 [unknown@Linux 6.5.0-1025-azure:R 4.4.1/:memory:] #> cohort_definition_id subject_id cohort_start_date cohort_end_date entry_reason #> #> 1 1 2 2001-01-01 2001-01-12 date_1 #> 2 1 3 2015-02-14 2015-02-15 date_2 #> 3 1 1 2001-08-01 2001-09-01 date_1; dat… #> 4 1 4 2002-12-09 2002-12-09 date_1; dat… # }"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/entryAtLastDate.html","id":null,"dir":"Reference","previous_headings":"","what":"Set cohort start date to the last of a set of column dates — entryAtLastDate","title":"Set cohort start date to the last of a set of column dates — entryAtLastDate","text":"Set cohort start date last set column dates","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/entryAtLastDate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set cohort start date to the last of a set of column dates — entryAtLastDate","text":"","code":"entryAtLastDate( cohort, dateColumns, cohortId = NULL, returnReason = TRUE, name = tableName(cohort) )"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/entryAtLastDate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set cohort start date to the last of a set of column dates — entryAtLastDate","text":"cohort cohort table cdm reference. dateColumns description cohortId IDs cohorts modify. NULL, cohorts used; otherwise, specified cohorts modified, rest remain unchanged. returnReason TRUE return column stating column dateColumns used new cohort end date. description name Name new cohort restriction.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/entryAtLastDate.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set cohort start date to the last of a set of column dates — entryAtLastDate","text":"cohort table.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/entryAtLastDate.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Set cohort start date to the last of a set of column dates — entryAtLastDate","text":"","code":"# \\donttest{ library(CohortConstructor) cdm <- mockCohortConstructor(tables = list( \"cohort\" = dplyr::tibble( cohort_definition_id = 1, subject_id = c(1, 2, 3, 4), cohort_start_date = as.Date(c(\"2000-06-03\", \"2000-01-01\", \"2015-01-15\", \"2000-12-09\")), cohort_end_date = as.Date(c(\"2001-09-01\", \"2001-01-12\", \"2015-02-15\", \"2002-12-09\")), date_1 = as.Date(c(\"2001-08-01\", \"2001-01-01\", \"2015-01-15\", \"2002-12-09\")), date_2 = as.Date(c(\"2001-08-01\", NA, \"2015-02-14\", \"2002-12-09\")) ) )) #> Warning: ! 7 column in person do not match expected column type: #> • `person_id` is numeric but expected integer #> • `gender_concept_id` is numeric but expected integer #> • `year_of_birth` is numeric but expected integer #> • `month_of_birth` is numeric but expected integer #> • `race_concept_id` is numeric but expected integer #> • `ethnicity_concept_id` is numeric but expected integer #> • `location_id` is numeric but expected integer #> Warning: ! 2 column in observation_period do not match expected column type: #> • `person_id` is numeric but expected integer #> • `period_type_concept_id` is numeric but expected integer #> Warning: ! 9 column in cdm_source do not match expected column type: #> • `cdm_source_abbreviation` is logical but expected character #> • `cdm_holder` is logical but expected character #> • `source_description` is logical but expected character #> • `source_documentation_reference` is logical but expected character #> • `cdm_etl_reference` is logical but expected character #> • `source_release_date` is logical but expected date #> • `cdm_release_date` is logical but expected date #> • `cdm_version` is numeric but expected character #> • `vocabulary_version` is logical but expected character #> Warning: ! 3 column in concept do not match expected column type: #> • `concept_id` is numeric but expected integer #> • `valid_start_date` is character but expected date #> • `valid_end_date` is character but expected date #> Warning: ! 1 column in vocabulary do not match expected column type: #> • `vocabulary_concept_id` is numeric but expected integer #> Warning: ! 5 column in concept_relationship do not match expected column type: #> • `concept_id_1` is numeric but expected integer #> • `concept_id_2` is numeric but expected integer #> • `valid_start_date` is logical but expected date #> • `valid_end_date` is logical but expected date #> • `invalid_reason` is logical but expected character #> Warning: ! 2 column in concept_synonym do not match expected column type: #> • `concept_id` is numeric but expected integer #> • `language_concept_id` is numeric but expected integer #> Warning: ! 4 column in concept_ancestor do not match expected column type: #> • `ancestor_concept_id` is numeric but expected integer #> • `descendant_concept_id` is numeric but expected integer #> • `min_levels_of_separation` is numeric but expected integer #> • `max_levels_of_separation` is numeric but expected integer #> Warning: ! 9 column in drug_strength do not match expected column type: #> • `drug_concept_id` is numeric but expected integer #> • `ingredient_concept_id` is numeric but expected integer #> • `amount_value` is logical but expected numeric #> • `amount_unit_concept_id` is numeric but expected integer #> • `numerator_unit_concept_id` is numeric but expected integer #> • `denominator_unit_concept_id` is numeric but expected integer #> • `box_size` is logical but expected integer #> • `valid_start_date` is logical but expected date #> • `valid_end_date` is logical but expected date #> Warning: ! 2 column in cohort do not match expected column type: #> • `cohort_definition_id` is numeric but expected integer #> • `subject_id` is numeric but expected integer #> Warning: ! 2 column in person do not match expected column type: #> • `person_id` is numeric but expected integer #> • `location_id` is numeric but expected integer #> Warning: ! 1 column in observation_period do not match expected column type: #> • `person_id` is numeric but expected integer #> Warning: ! 2 column in cohort do not match expected column type: #> • `cohort_definition_id` is numeric but expected integer #> • `subject_id` is numeric but expected integer cdm$cohort |> entryAtLastDate(dateColumns = c(\"date_1\", \"date_2\")) #> Warning: ! 2 column in cohort do not match expected column type: #> • `cohort_definition_id` is numeric but expected integer #> • `subject_id` is numeric but expected integer #> # Source: table [4 x 5] #> # Database: DuckDB v1.0.0 [unknown@Linux 6.5.0-1025-azure:R 4.4.1/:memory:] #> cohort_definition_id subject_id cohort_start_date cohort_end_date entry_reason #> #> 1 1 1 2001-08-01 2001-09-01 date_2; dat… #> 2 1 3 2015-02-14 2015-02-15 date_2 #> 3 1 4 2002-12-09 2002-12-09 date_2; dat… #> 4 1 2 2001-01-01 2001-01-12 date_1 # }"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/exitAtDeath.html","id":null,"dir":"Reference","previous_headings":"","what":"Set cohort end date to death date — exitAtDeath","title":"Set cohort end date to death date — exitAtDeath","text":"functions changes cohort end date subject's death date. case generates overlapping records cohort, overlapping entries merged.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/exitAtDeath.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set cohort end date to death date — exitAtDeath","text":"","code":"exitAtDeath( cohort, cohortId = NULL, requireDeath = FALSE, name = tableName(cohort) )"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/exitAtDeath.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set cohort end date to death date — exitAtDeath","text":"cohort cohort table cdm reference. cohortId IDs cohorts modify. NULL, cohorts used; otherwise, specified cohorts modified, rest remain unchanged. requireDeath TRUE, subjects without death record dropped, FALSE end date left . name Name new cohort restriction.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/exitAtDeath.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set cohort end date to death date — exitAtDeath","text":"cohort table.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/exitAtDeath.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Set cohort end date to death date — exitAtDeath","text":"","code":"# \\donttest{ library(PatientProfiles) library(CohortConstructor) cdm <- mockPatientProfiles() #> ! cohort columns will be reordered to match the expected order: #> cohort_definition_id, subject_id, cohort_start_date, and cohort_end_date. #> ! cohort columns will be reordered to match the expected order: #> cohort_definition_id, subject_id, cohort_start_date, and cohort_end_date. cdm$cohort1 |> exitAtDeath() #> # Source: table [10 x 4] #> # Database: DuckDB v1.0.0 [unknown@Linux 6.5.0-1025-azure:R 4.4.1/:memory:] #> cohort_definition_id subject_id cohort_start_date cohort_end_date #> #> 1 3 7 2029-01-30 2050-08-27 #> 2 2 8 1954-07-05 1955-07-17 #> 3 2 5 2113-08-18 2144-11-05 #> 4 2 2 1998-11-05 2008-01-27 #> 5 2 1 1951-11-28 2019-01-16 #> 6 1 6 2006-12-25 2022-11-01 #> 7 3 10 2003-01-05 2060-02-27 #> 8 2 3 1993-12-06 1997-05-26 #> 9 2 9 2109-11-07 2115-08-03 #> 10 1 4 2017-04-18 2077-11-07 # }"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/exitAtFirstDate.html","id":null,"dir":"Reference","previous_headings":"","what":"Set cohort end date to the first of a set of column dates — exitAtFirstDate","title":"Set cohort end date to the first of a set of column dates — exitAtFirstDate","text":"exitAtFirstDate() resets cohort end date based set specified column dates. first date occurs chosen.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/exitAtFirstDate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set cohort end date to the first of a set of column dates — exitAtFirstDate","text":"","code":"exitAtFirstDate( cohort, dateColumns, cohortId = NULL, returnReason = TRUE, name = tableName(cohort) )"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/exitAtFirstDate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set cohort end date to the first of a set of column dates — exitAtFirstDate","text":"cohort cohort table cdm reference. dateColumns Date columns cohort table consider. cohortId IDs cohorts modify. NULL, cohorts used; otherwise, specified cohorts modified, rest remain unchanged. returnReason TRUE return column stating column dateColumns used new cohort end date. name Name new cohort restriction.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/exitAtFirstDate.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set cohort end date to the first of a set of column dates — exitAtFirstDate","text":"cohort table.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/exitAtFirstDate.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Set cohort end date to the first of a set of column dates — exitAtFirstDate","text":"","code":"# \\donttest{ library(CohortConstructor) cdm <- mockCohortConstructor(tables = list( \"cohort\" = dplyr::tibble( cohort_definition_id = 1, subject_id = c(1, 2, 3, 4), cohort_start_date = as.Date(c(\"2000-06-03\", \"2000-01-01\", \"2015-01-15\", \"2000-12-09\")), cohort_end_date = as.Date(c(\"2001-09-01\", \"2001-01-12\", \"2015-02-15\", \"2002-12-09\")), date_1 = as.Date(c(\"2001-08-01\", \"2001-01-01\", \"2015-01-15\", \"2002-12-09\")), date_2 = as.Date(c(\"2001-08-01\", NA, \"2015-04-15\", \"2002-12-09\")) ) )) #> Warning: ! 7 column in person do not match expected column type: #> • `person_id` is numeric but expected integer #> • `gender_concept_id` is numeric but expected integer #> • `year_of_birth` is numeric but expected integer #> • `month_of_birth` is numeric but expected integer #> • `race_concept_id` is numeric but expected integer #> • `ethnicity_concept_id` is numeric but expected integer #> • `location_id` is numeric but expected integer #> Warning: ! 2 column in observation_period do not match expected column type: #> • `person_id` is numeric but expected integer #> • `period_type_concept_id` is numeric but expected integer #> Warning: ! 9 column in cdm_source do not match expected column type: #> • `cdm_source_abbreviation` is logical but expected character #> • `cdm_holder` is logical but expected character #> • `source_description` is logical but expected character #> • `source_documentation_reference` is logical but expected character #> • `cdm_etl_reference` is logical but expected character #> • `source_release_date` is logical but expected date #> • `cdm_release_date` is logical but expected date #> • `cdm_version` is numeric but expected character #> • `vocabulary_version` is logical but expected character #> Warning: ! 3 column in concept do not match expected column type: #> • `concept_id` is numeric but expected integer #> • `valid_start_date` is character but expected date #> • `valid_end_date` is character but expected date #> Warning: ! 1 column in vocabulary do not match expected column type: #> • `vocabulary_concept_id` is numeric but expected integer #> Warning: ! 5 column in concept_relationship do not match expected column type: #> • `concept_id_1` is numeric but expected integer #> • `concept_id_2` is numeric but expected integer #> • `valid_start_date` is logical but expected date #> • `valid_end_date` is logical but expected date #> • `invalid_reason` is logical but expected character #> Warning: ! 2 column in concept_synonym do not match expected column type: #> • `concept_id` is numeric but expected integer #> • `language_concept_id` is numeric but expected integer #> Warning: ! 4 column in concept_ancestor do not match expected column type: #> • `ancestor_concept_id` is numeric but expected integer #> • `descendant_concept_id` is numeric but expected integer #> • `min_levels_of_separation` is numeric but expected integer #> • `max_levels_of_separation` is numeric but expected integer #> Warning: ! 9 column in drug_strength do not match expected column type: #> • `drug_concept_id` is numeric but expected integer #> • `ingredient_concept_id` is numeric but expected integer #> • `amount_value` is logical but expected numeric #> • `amount_unit_concept_id` is numeric but expected integer #> • `numerator_unit_concept_id` is numeric but expected integer #> • `denominator_unit_concept_id` is numeric but expected integer #> • `box_size` is logical but expected integer #> • `valid_start_date` is logical but expected date #> • `valid_end_date` is logical but expected date #> Warning: ! 2 column in cohort do not match expected column type: #> • `cohort_definition_id` is numeric but expected integer #> • `subject_id` is numeric but expected integer #> Warning: ! 2 column in person do not match expected column type: #> • `person_id` is numeric but expected integer #> • `location_id` is numeric but expected integer #> Warning: ! 1 column in observation_period do not match expected column type: #> • `person_id` is numeric but expected integer #> Warning: ! 2 column in cohort do not match expected column type: #> • `cohort_definition_id` is numeric but expected integer #> • `subject_id` is numeric but expected integer cdm$cohort |> exitAtFirstDate(dateColumns = c(\"date_1\", \"date_2\")) #> Warning: ! 2 column in cohort do not match expected column type: #> • `cohort_definition_id` is numeric but expected integer #> • `subject_id` is numeric but expected integer #> # Source: table [4 x 5] #> # Database: DuckDB v1.0.0 [unknown@Linux 6.5.0-1025-azure:R 4.4.1/:memory:] #> cohort_definition_id subject_id cohort_start_date cohort_end_date exit_reason #> #> 1 1 3 2015-01-15 2015-01-15 date_1 #> 2 1 4 2000-12-09 2002-12-09 date_1; dat… #> 3 1 1 2000-06-03 2001-08-01 date_1; dat… #> 4 1 2 2000-01-01 2001-01-01 date_1 # }"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/exitAtLastDate.html","id":null,"dir":"Reference","previous_headings":"","what":"Set cohort end date to the last of a set of column dates — exitAtLastDate","title":"Set cohort end date to the last of a set of column dates — exitAtLastDate","text":"exitAtLastDate() resets cohort end date based set specified column dates. last date occurs chosen.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/exitAtLastDate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set cohort end date to the last of a set of column dates — exitAtLastDate","text":"","code":"exitAtLastDate( cohort, dateColumns, cohortId = NULL, returnReason = TRUE, name = tableName(cohort) )"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/exitAtLastDate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set cohort end date to the last of a set of column dates — exitAtLastDate","text":"cohort cohort table cdm reference. dateColumns description cohortId IDs cohorts modify. NULL, cohorts used; otherwise, specified cohorts modified, rest remain unchanged. returnReason TRUE return column stating column dateColumns used new cohort end date. description name Name new cohort restriction.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/exitAtLastDate.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set cohort end date to the last of a set of column dates — exitAtLastDate","text":"cohort table.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/exitAtLastDate.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Set cohort end date to the last of a set of column dates — exitAtLastDate","text":"","code":"# \\donttest{ library(CohortConstructor) cdm <- mockCohortConstructor(tables = list( \"cohort\" = dplyr::tibble( cohort_definition_id = 1, subject_id = c(1, 2, 3, 4), cohort_start_date = as.Date(c(\"2000-06-03\", \"2000-01-01\", \"2015-01-15\", \"2000-12-09\")), cohort_end_date = as.Date(c(\"2001-09-01\", \"2001-01-12\", \"2015-02-15\", \"2002-12-09\")), date_1 = as.Date(c(\"2001-08-01\", \"2001-01-01\", \"2015-01-15\", \"2002-12-09\")), date_2 = as.Date(c(\"2001-08-01\", NA, \"2015-04-15\", \"2002-12-09\")) ) )) #> Warning: ! 7 column in person do not match expected column type: #> • `person_id` is numeric but expected integer #> • `gender_concept_id` is numeric but expected integer #> • `year_of_birth` is numeric but expected integer #> • `month_of_birth` is numeric but expected integer #> • `race_concept_id` is numeric but expected integer #> • `ethnicity_concept_id` is numeric but expected integer #> • `location_id` is numeric but expected integer #> Warning: ! 2 column in observation_period do not match expected column type: #> • `person_id` is numeric but expected integer #> • `period_type_concept_id` is numeric but expected integer #> Warning: ! 9 column in cdm_source do not match expected column type: #> • `cdm_source_abbreviation` is logical but expected character #> • `cdm_holder` is logical but expected character #> • `source_description` is logical but expected character #> • `source_documentation_reference` is logical but expected character #> • `cdm_etl_reference` is logical but expected character #> • `source_release_date` is logical but expected date #> • `cdm_release_date` is logical but expected date #> • `cdm_version` is numeric but expected character #> • `vocabulary_version` is logical but expected character #> Warning: ! 3 column in concept do not match expected column type: #> • `concept_id` is numeric but expected integer #> • `valid_start_date` is character but expected date #> • `valid_end_date` is character but expected date #> Warning: ! 1 column in vocabulary do not match expected column type: #> • `vocabulary_concept_id` is numeric but expected integer #> Warning: ! 5 column in concept_relationship do not match expected column type: #> • `concept_id_1` is numeric but expected integer #> • `concept_id_2` is numeric but expected integer #> • `valid_start_date` is logical but expected date #> • `valid_end_date` is logical but expected date #> • `invalid_reason` is logical but expected character #> Warning: ! 2 column in concept_synonym do not match expected column type: #> • `concept_id` is numeric but expected integer #> • `language_concept_id` is numeric but expected integer #> Warning: ! 4 column in concept_ancestor do not match expected column type: #> • `ancestor_concept_id` is numeric but expected integer #> • `descendant_concept_id` is numeric but expected integer #> • `min_levels_of_separation` is numeric but expected integer #> • `max_levels_of_separation` is numeric but expected integer #> Warning: ! 9 column in drug_strength do not match expected column type: #> • `drug_concept_id` is numeric but expected integer #> • `ingredient_concept_id` is numeric but expected integer #> • `amount_value` is logical but expected numeric #> • `amount_unit_concept_id` is numeric but expected integer #> • `numerator_unit_concept_id` is numeric but expected integer #> • `denominator_unit_concept_id` is numeric but expected integer #> • `box_size` is logical but expected integer #> • `valid_start_date` is logical but expected date #> • `valid_end_date` is logical but expected date #> Warning: ! 2 column in cohort do not match expected column type: #> • `cohort_definition_id` is numeric but expected integer #> • `subject_id` is numeric but expected integer #> Warning: ! 2 column in person do not match expected column type: #> • `person_id` is numeric but expected integer #> • `location_id` is numeric but expected integer #> Warning: ! 1 column in observation_period do not match expected column type: #> • `person_id` is numeric but expected integer #> Warning: ! 2 column in cohort do not match expected column type: #> • `cohort_definition_id` is numeric but expected integer #> • `subject_id` is numeric but expected integer cdm$cohort |> exitAtLastDate(dateColumns = c(\"date_1\", \"date_2\")) #> Warning: ! 2 column in cohort do not match expected column type: #> • `cohort_definition_id` is numeric but expected integer #> • `subject_id` is numeric but expected integer #> # Source: table [4 x 5] #> # Database: DuckDB v1.0.0 [unknown@Linux 6.5.0-1025-azure:R 4.4.1/:memory:] #> cohort_definition_id subject_id cohort_start_date cohort_end_date exit_reason #> #> 1 1 2 2000-01-01 2001-01-01 date_1 #> 2 1 1 2000-06-03 2001-08-01 date_1; dat… #> 3 1 4 2000-12-09 2002-12-09 date_1; dat… #> 4 1 3 2015-01-15 2015-04-15 date_2 # }"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/exitAtObservationEnd.html","id":null,"dir":"Reference","previous_headings":"","what":"Set cohort end date to end of observation — exitAtObservationEnd","title":"Set cohort end date to end of observation — exitAtObservationEnd","text":"exitAtObservationEnd() resets cohort end date based set specified column dates. last date occurs chosen. functions changes cohort end date end date observation period corresponding cohort entry. case generates overlapping records cohort, overlapping entries merged.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/exitAtObservationEnd.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set cohort end date to end of observation — exitAtObservationEnd","text":"","code":"exitAtObservationEnd(cohort, cohortId = NULL, name = tableName(cohort))"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/exitAtObservationEnd.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set cohort end date to end of observation — exitAtObservationEnd","text":"cohort cohort table cdm reference. cohortId IDs cohorts modify. NULL, cohorts used; otherwise, specified cohorts modified, rest remain unchanged. name Name new cohort restriction.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/exitAtObservationEnd.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set cohort end date to end of observation — exitAtObservationEnd","text":"cohort table.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/exitAtObservationEnd.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Set cohort end date to end of observation — exitAtObservationEnd","text":"","code":"# \\donttest{ library(CohortConstructor) cdm <- mockCohortConstructor() cdm$cohort1 |> exitAtObservationEnd() #> # Source: table [6 x 4] #> # Database: DuckDB v1.0.0 [unknown@Linux 6.5.0-1025-azure:R 4.4.1/:memory:] #> cohort_definition_id subject_id cohort_start_date cohort_end_date #> #> 1 1 4 1996-06-30 2013-12-31 #> 2 1 7 2014-03-07 2014-04-09 #> 3 1 5 2012-03-20 2013-02-10 #> 4 1 1 2001-05-30 2013-06-29 #> 5 1 3 2015-01-27 2015-10-11 #> 6 1 2 2000-05-04 2003-06-15 # }"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/intersectCohorts.html","id":null,"dir":"Reference","previous_headings":"","what":"Generate a combination cohort set between the intersection of different cohorts. — intersectCohorts","title":"Generate a combination cohort set between the intersection of different cohorts. — intersectCohorts","text":"intersectCohorts() combines different cohort entries, records overlap combined kept. Cohort entries individual cohorts.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/intersectCohorts.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Generate a combination cohort set between the intersection of different cohorts. — intersectCohorts","text":"","code":"intersectCohorts( cohort, cohortId = NULL, gap = 0, mutuallyExclusive = FALSE, returnOnlyComb = FALSE, name = tableName(cohort) )"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/intersectCohorts.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Generate a combination cohort set between the intersection of different cohorts. — intersectCohorts","text":"cohort cohort table cdm reference. cohortId IDs cohorts include. NULL cohorts considered. Cohorts included removed cohort set. gap Number days two subsequent cohort entries merged single cohort record. mutuallyExclusive Whether generated cohorts mutually exclusive . returnOnlyComb Whether get combination cohort back name Name new cohort demographic requirements.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/intersectCohorts.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Generate a combination cohort set between the intersection of different cohorts. — intersectCohorts","text":"cohort table.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/intersectCohorts.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Generate a combination cohort set between the intersection of different cohorts. — intersectCohorts","text":"","code":"# \\donttest{ library(CohortConstructor) cdm <- mockCohortConstructor(nPerson = 100) cdm$cohort3 <- intersectCohorts( cohort = cdm$cohort2, name = \"cohort3\", ) #> Warning: ! 3 casted column in cohort3 (cohort_attrition) as do not match expected column #> type: #> • `reason_id` from numeric to integer #> • `excluded_records` from numeric to integer #> • `excluded_subjects` from numeric to integer settings(cdm$cohort3) #> # A tibble: 3 × 6 #> cohort_definition_id cohort_name cohort_1 cohort_2 mutually_exclusive gap #> #> 1 1 cohort_1 1 0 FALSE 0 #> 2 2 cohort_2 0 1 FALSE 0 #> 3 3 cohort_1_coho… 1 1 FALSE 0 # }"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/matchCohorts.html","id":null,"dir":"Reference","previous_headings":"","what":"Generate a new cohort matched cohort — matchCohorts","title":"Generate a new cohort matched cohort — matchCohorts","text":"matchCohorts() generate new cohort matched individuals existing cohort. Individuals can matched based year birth sex.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/matchCohorts.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Generate a new cohort matched cohort — matchCohorts","text":"","code":"matchCohorts( cohort, cohortId = NULL, matchSex = TRUE, matchYearOfBirth = TRUE, ratio = 1, name = tableName(cohort) )"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/matchCohorts.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Generate a new cohort matched cohort — matchCohorts","text":"cohort cohort table cdm reference. cohortId IDs cohorts include. NULL cohorts considered. Cohorts included removed cohort set. matchSex Whether match sex. matchYearOfBirth Whether match year birth. ratio Number allowed matches per individual target cohort. name Name new generated cohort set.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/matchCohorts.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Generate a new cohort matched cohort — matchCohorts","text":"cohort table.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/matchCohorts.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Generate a new cohort matched cohort — matchCohorts","text":"","code":"# \\donttest{ library(CohortConstructor) library(dplyr) #> #> Attaching package: ‘dplyr’ #> The following objects are masked from ‘package:stats’: #> #> filter, lag #> The following objects are masked from ‘package:base’: #> #> intersect, setdiff, setequal, union cdm <- mockCohortConstructor(nPerson = 200) cdm$new_matched_cohort <- cdm$cohort2 |> matchCohorts( name = \"new_matched_cohort\", cohortId = 2, matchSex = TRUE, matchYearOfBirth = TRUE, ratio = 1) #> Starting matching #> Warning: Multiple records per person detected. The matchCohorts() function is designed #> to operate under the assumption that there is only one record per person within #> each cohort. If this assumption is not met, each record will be treated #> independently. As a result, the same individual may be matched multiple times, #> leading to inconsistent and potentially misleading results. #> ℹ Creating copy of target cohort. #> • 1 cohort to be matched. #> ℹ Creating controls cohorts. #> Warning: ! 2 casted column in tmp_004_og_039_1724843782 (cohort_attrition) as do not #> match expected column type: #> • `number_records` from numeric to integer #> • `number_subjects` from numeric to integer #> ℹ Excluding cases from controls #> • Matching by gender_concept_id and year_of_birth #> • Removing controls that were not in observation at index date #> ! cohort columns will be reordered to match the expected order: #> cohort_definition_id, subject_id, cohort_start_date, and cohort_end_date. #> • Excluding target records whose pair is not in observation #> • Adjusting ratio #> Binding both cohorts #> ✔ Done cdm$new_matched_cohort #> # Source: table [?? x 5] #> # Database: DuckDB v1.0.0 [unknown@Linux 6.5.0-1025-azure:R 4.4.1/:memory:] #> cohort_definition_id subject_id cohort_start_date cohort_end_date cluster_id #> #> 1 1 118 1975-11-28 1981-05-30 6 #> 2 1 56 2007-09-28 2008-07-15 18 #> 3 1 63 2008-08-23 2008-09-02 19 #> 4 1 20 1985-08-15 1990-06-06 27 #> 5 1 84 2000-04-13 2006-06-11 42 #> 6 1 81 2009-08-19 2010-12-05 46 #> 7 1 113 2015-09-05 2016-01-10 50 #> 8 1 24 2016-12-17 2016-12-29 59 #> 9 1 119 1982-09-08 1989-01-29 67 #> 10 1 62 2017-04-27 2018-07-04 73 #> # ℹ more rows # }"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/measurementCohort.html","id":null,"dir":"Reference","previous_headings":"","what":"Create cohorts measurement based cohorts — measurementCohort","title":"Create cohorts measurement based cohorts — measurementCohort","text":"measurementCohort() creates cohorts based patient records contained measurement table. function extends conceptCohort() allows measurement values associated records specified. valueAsConcept valueAsNumber NULL requirements values associated measurement records using measurementCohort() lead result using conceptCohort() (long concepts measurement domain). one valueAsConcept valueAsNumber NULL records required values satisfy requirement specified. valueAsConcept valueAsNumber NULL, records required values fulfill either requirements","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/measurementCohort.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create cohorts measurement based cohorts — measurementCohort","text":"","code":"measurementCohort( cdm, conceptSet, name, valueAsConcept = NULL, valueAsNumber = NULL )"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/measurementCohort.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create cohorts measurement based cohorts — measurementCohort","text":"cdm cdm reference. conceptSet conceptSet, can either codelist conceptSetExpression. name Name cohort cdm object. valueAsConcept vector cohort IDs used filter measurements. measurements values value_as_concept_id column measurement table included. NULL entries independently value concept considered. valueAsNumber named list indicating range values unit correspond , follows: list(\"unit_concept_id\" = c(rangeValue1, rangeValue2)). NULL, entries independently value number included.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/measurementCohort.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create cohorts measurement based cohorts — measurementCohort","text":"cohort table","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/measurementCohort.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Create cohorts measurement based cohorts — measurementCohort","text":"","code":"# \\donttest{ library(CohortConstructor) cdm <- mockCohortConstructor(con = NULL) cdm$concept <- cdm$concept |> dplyr::union_all( dplyr::tibble( concept_id = c(4326744, 4298393, 45770407, 8876, 4124457), concept_name = c(\"Blood pressure\", \"Systemic blood pressure\", \"Baseline blood pressure\", \"millimeter mercury column\", \"Normal range\"), domain_id = \"Measurement\", vocabulary_id = c(\"SNOMED\", \"SNOMED\", \"SNOMED\", \"UCUM\", \"SNOMED\"), standard_concept = \"S\", concept_class_id = c(\"Observable Entity\", \"Observable Entity\", \"Observable Entity\", \"Unit\", \"Qualifier Value\"), concept_code = NA, valid_start_date = NA, valid_end_date = NA, invalid_reason = NA ) ) cdm$measurement <- dplyr::tibble( measurement_id = 1:4, person_id = c(1, 1, 2, 3), measurement_concept_id = c(4326744, 4298393, 4298393, 45770407), measurement_date = as.Date(c(\"2000-07-01\", \"2000-12-11\", \"2002-09-08\", \"2015-02-19\")), measurement_type_concept_id = NA, value_as_number = c(100, 125, NA, NA), value_as_concept_id = c(0, 0, 0, 4124457), unit_concept_id = c(8876, 8876, 0, 0) ) cdm <- CDMConnector::copyCdmTo( con = DBI::dbConnect(duckdb::duckdb()), cdm = cdm, schema = \"main\") cdm$cohort <- measurementCohort( cdm = cdm, name = \"cohort\", conceptSet = list(\"normal_blood_pressure\" = c(4326744, 4298393, 45770407)), valueAsConcept = c(4124457), valueAsNumber = list(\"8876\" = c(70, 120)) ) #> Warning: ! `codelist` contains numeric values, they are casted to integers. #> ℹ Getting records in observation. #> ℹ Applying measurement requirements. #> ℹ Creating cohort attributes. #> Warning: ! 1 column in cohort do not match expected column type: #> • `subject_id` is numeric but expected integer #> ✔ Cohort cohort created. cdm$cohort #> # Source: table [2 x 4] #> # Database: DuckDB v1.0.0 [unknown@Linux 6.5.0-1025-azure:R 4.4.1/:memory:] #> cohort_definition_id subject_id cohort_start_date cohort_end_date #> #> 1 1 1 2000-07-01 2000-07-01 #> 2 1 3 2015-02-19 2015-02-19 # }"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/mockCohortConstructor.html","id":null,"dir":"Reference","previous_headings":"","what":"Function to create a mock cdm reference for CohortConstructor — mockCohortConstructor","title":"Function to create a mock cdm reference for CohortConstructor — mockCohortConstructor","text":"mockCohortConstructor() creates example dataset can used demonstrating testing package","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/mockCohortConstructor.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Function to create a mock cdm reference for CohortConstructor — mockCohortConstructor","text":"","code":"mockCohortConstructor( nPerson = 10, conceptTable = NULL, tables = NULL, conceptId = NULL, conceptIdClass = NULL, drugExposure = FALSE, conditionOccurrence = FALSE, measurement = FALSE, death = FALSE, otherTables = NULL, con = DBI::dbConnect(duckdb::duckdb()), writeSchema = \"main\", seed = 123 )"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/mockCohortConstructor.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Function to create a mock cdm reference for CohortConstructor — mockCohortConstructor","text":"nPerson number person cdm conceptTable user defined concept table tables list tables include cdm conceptId list concept id conceptIdClass domain class conceptId drugExposure T/F include drug exposure table cdm conditionOccurrence T/F include condition occurrence cdm measurement T/F include measurement cdm death T/F include death table cdm otherTables takes list single tibble names include tables cdm con DBI connection create cdm mock object. writeSchema Name schema connection writing permissions. seed Seed passed omock::mockCdmFromTable","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/mockCohortConstructor.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Function to create a mock cdm reference for CohortConstructor — mockCohortConstructor","text":"cdm object","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/mockCohortConstructor.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Function to create a mock cdm reference for CohortConstructor — mockCohortConstructor","text":"","code":"# \\donttest{ library(CohortConstructor) cdm <- mockCohortConstructor() cdm #> #> ── # OMOP CDM reference (duckdb) of mock database ────────────────────────────── #> • omop tables: person, observation_period, cdm_source, concept, vocabulary, #> concept_relationship, concept_synonym, concept_ancestor, drug_strength #> • cohort tables: cohort1, cohort2 #> • achilles tables: - #> • other tables: - # }"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/reexports.html","id":null,"dir":"Reference","previous_headings":"","what":"Objects exported from other packages — reexports","title":"Objects exported from other packages — reexports","text":"objects imported packages. Follow links see documentation. omopgenerics attrition, bind, cohortCodelist, cohortCount, settings, tableName PatientProfiles endDateColumn, startDateColumn","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireAge.html","id":null,"dir":"Reference","previous_headings":"","what":"Restrict cohort on age — requireAge","title":"Restrict cohort on age — requireAge","text":"requireAge() filters cohort records, keeping records individuals satisfy specified age criteria.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireAge.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Restrict cohort on age — requireAge","text":"","code":"requireAge( cohort, ageRange, cohortId = NULL, indexDate = \"cohort_start_date\", name = tableName(cohort) )"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireAge.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Restrict cohort on age — requireAge","text":"cohort cohort table cdm reference. ageRange list minimum maximum age. cohortId IDs cohorts modify. NULL, cohorts used; otherwise, specified cohorts modified, rest remain unchanged. indexDate Variable cohort contains date compute demographics characteristics restrict . name Name new cohort age requirement.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireAge.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Restrict cohort on age — requireAge","text":"cohort table records individuals satisfying age requirement","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireAge.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Restrict cohort on age — requireAge","text":"","code":"# \\donttest{ library(CohortConstructor) cdm <- mockCohortConstructor() cdm$cohort1 |> requireAge(indexDate = \"cohort_start_date\", ageRange = list(c(18, 65))) #> ! cohort columns will be reordered to match the expected order: #> cohort_definition_id, subject_id, cohort_start_date, and cohort_end_date. #> # Source: table [7 x 4] #> # Database: DuckDB v1.0.0 [unknown@Linux 6.5.0-1025-azure:R 4.4.1/:memory:] #> cohort_definition_id subject_id cohort_start_date cohort_end_date #> #> 1 1 2 2000-05-04 2000-05-17 #> 2 1 2 2000-05-18 2001-01-23 #> 3 1 3 2015-01-27 2015-06-28 #> 4 1 5 2012-03-20 2012-04-30 #> 5 1 5 2012-05-01 2012-07-24 #> 6 1 7 2014-03-07 2014-03-07 #> 7 1 7 2014-03-08 2014-03-20 # }"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireCohortIntersect.html","id":null,"dir":"Reference","previous_headings":"","what":"Require cohort subjects are present (or absence) in another cohort — requireCohortIntersect","title":"Require cohort subjects are present (or absence) in another cohort — requireCohortIntersect","text":"requireCohortIntersect() filters cohort table based requirement individual seen (seen) another cohort time window around index date.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireCohortIntersect.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Require cohort subjects are present (or absence) in another cohort — requireCohortIntersect","text":"","code":"requireCohortIntersect( cohort, targetCohortTable, window, intersections = c(1, Inf), cohortId = NULL, targetCohortId = NULL, indexDate = \"cohort_start_date\", targetStartDate = \"cohort_start_date\", targetEndDate = \"cohort_end_date\", censorDate = NULL, name = tableName(cohort) )"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireCohortIntersect.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Require cohort subjects are present (or absence) in another cohort — requireCohortIntersect","text":"cohort cohort table cdm reference. targetCohortTable Name cohort want check intersect. window Window consider events . intersections range indicating number intersections criteria fulfilled. single number passed, number intersections must match . cohortId IDs cohorts modify. NULL, cohorts used; otherwise, specified cohorts modified, rest remain unchanged. targetCohortId Vector cohort definition ids include. indexDate Variable x contains date compute intersection. targetStartDate Date reference cohort table, either start (overlap) (incidence). targetEndDate Date reference cohort table, either end (overlap) NULL (incidence). censorDate Whether censor overlap events specific date column date x. name Name new cohort future observation restriction.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireCohortIntersect.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Require cohort subjects are present (or absence) in another cohort — requireCohortIntersect","text":"Cohort table isatisfying criteria kept","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireCohortIntersect.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Require cohort subjects are present (or absence) in another cohort — requireCohortIntersect","text":"","code":"# \\donttest{ library(CohortConstructor) cdm <- mockCohortConstructor() cdm$cohort1 |> requireCohortIntersect(targetCohortTable = \"cohort2\", targetCohortId = 1, indexDate = \"cohort_start_date\", window = c(-Inf, 0)) #> # Source: table [10 x 4] #> # Database: DuckDB v1.0.0 [unknown@Linux 6.5.0-1025-azure:R 4.4.1/:memory:] #> cohort_definition_id subject_id cohort_start_date cohort_end_date #> #> 1 1 1 2001-05-30 2003-05-01 #> 2 1 1 2003-05-02 2006-06-10 #> 3 1 2 2000-05-04 2000-05-17 #> 4 1 2 2000-05-18 2001-01-23 #> 5 1 3 2015-01-27 2015-06-28 #> 6 1 4 1996-06-30 1998-11-20 #> 7 1 5 2012-03-20 2012-04-30 #> 8 1 5 2012-05-01 2012-07-24 #> 9 1 7 2014-03-07 2014-03-07 #> 10 1 7 2014-03-08 2014-03-20 # }"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireConceptIntersect.html","id":null,"dir":"Reference","previous_headings":"","what":"Require cohort subjects to have (or not have) events of a concept list — requireConceptIntersect","title":"Require cohort subjects to have (or not have) events of a concept list — requireConceptIntersect","text":"requireConceptIntersect() filters cohort table based requirement individual seen (seen) events related concept list time window around index date.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireConceptIntersect.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Require cohort subjects to have (or not have) events of a concept list — requireConceptIntersect","text":"","code":"requireConceptIntersect( cohort, conceptSet, window, intersections = c(1, Inf), cohortId = NULL, indexDate = \"cohort_start_date\", targetStartDate = \"event_start_date\", targetEndDate = \"event_end_date\", censorDate = NULL, name = tableName(cohort) )"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireConceptIntersect.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Require cohort subjects to have (or not have) events of a concept list — requireConceptIntersect","text":"cohort cohort table cdm reference. conceptSet Concept set list. window Window consider events . intersections range indicating number intersections criteria fulfilled. single number passed, number intersections must match . cohortId IDs cohorts modify. NULL, cohorts used; otherwise, specified cohorts modified, rest remain unchanged.. indexDate Variable x contains date compute intersection. targetStartDate Date reference cohort table, either start (overlap) (incidence). targetEndDate Date reference cohort table, either end (overlap) NULL (incidence). censorDate Whether censor overlap events specific date column date x. name Name new cohort future observation restriction.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireConceptIntersect.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Require cohort subjects to have (or not have) events of a concept list — requireConceptIntersect","text":"Cohort table events concept list kept (without event negate = TRUE)","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireConceptIntersect.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Require cohort subjects to have (or not have) events of a concept list — requireConceptIntersect","text":"","code":"# \\donttest{ library(CohortConstructor) cdm <- mockCohortConstructor(conditionOccurrence = TRUE) cdm$cohort2 <- requireConceptIntersect( cohort = cdm$cohort1, conceptSet = list(a = 1), window = c(-Inf, 0), name = \"cohort2\") #> Warning: ! `codelist` contains numeric values, they are casted to integers. # }"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireDeathFlag.html","id":null,"dir":"Reference","previous_headings":"","what":"Require cohort subjects have (or do not have) a death record — requireDeathFlag","title":"Require cohort subjects have (or do not have) a death record — requireDeathFlag","text":"requireDeathFlag() filters cohort table based requirement individual seen (seen) death time window around index date.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireDeathFlag.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Require cohort subjects have (or do not have) a death record — requireDeathFlag","text":"","code":"requireDeathFlag( cohort, window, cohortId = NULL, indexDate = \"cohort_start_date\", censorDate = NULL, negate = FALSE, name = tableName(cohort) )"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireDeathFlag.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Require cohort subjects have (or do not have) a death record — requireDeathFlag","text":"cohort cohort table cdm reference. window Window consider events . cohortId IDs cohorts modify. NULL, cohorts used; otherwise, specified cohorts modified, rest remain unchanged. indexDate Variable x contains date compute intersection. censorDate Whether censor overlap events specific date column date x. negate set TRUE, criteria applied exclusion rather inclusion (.e. require absence another cohort). name Name new cohort future observation restriction.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireDeathFlag.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Require cohort subjects have (or do not have) a death record — requireDeathFlag","text":"Cohort table death event kept (without negate = TRUE)","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireDeathFlag.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Require cohort subjects have (or do not have) a death record — requireDeathFlag","text":"","code":"# \\donttest{ library(CDMConnector) #> #> Attaching package: ‘CDMConnector’ #> The following objects are masked from ‘package:CohortConstructor’: #> #> intersectCohorts, unionCohorts library(CohortConstructor) cdm <- mockCohortConstructor(death = TRUE) cdm$cohort1 <- cdm$cohort1 |> requireDeathFlag(window = list(c(0, Inf))) attrition(cdm$cohort1) #> # A tibble: 2 × 7 #> cohort_definition_id number_records number_subjects reason_id reason #> #> 1 1 10 6 1 Initial qualify… #> 2 1 10 6 2 Death between 0… #> # ℹ 2 more variables: excluded_records , excluded_subjects # }"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireDemographics.html","id":null,"dir":"Reference","previous_headings":"","what":"Restrict cohort on patient demographics — requireDemographics","title":"Restrict cohort on patient demographics — requireDemographics","text":"requireDemographics() filters cohort records, keeping records individuals satisfy specified demographic criteria.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireDemographics.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Restrict cohort on patient demographics — requireDemographics","text":"","code":"requireDemographics( cohort, cohortId = NULL, indexDate = \"cohort_start_date\", ageRange = list(c(0, 150)), sex = c(\"Both\"), minPriorObservation = 0, minFutureObservation = 0, requirementInteractions = TRUE, name = tableName(cohort) )"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireDemographics.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Restrict cohort on patient demographics — requireDemographics","text":"cohort cohort table cdm reference. cohortId IDs cohorts modify. NULL, cohorts used; otherwise, specified cohorts modified, rest remain unchanged. indexDate Variable cohort contains date compute demographics characteristics restrict . ageRange list minimum maximum age. sex Can \"\", \"Male\" \"Female\". one latter, sex included. minPriorObservation minimum number prior observation days database. minFutureObservation minimum number future observation days database. requirementInteractions TRUE, cohorts created combinations ageGroup, sex, daysPriorObservation. FALSE, first value specified factors used. Consequently, order values matters requirementInteractions FALSE. name Name new cohort demographic requirements.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireDemographics.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Restrict cohort on patient demographics — requireDemographics","text":"cohort table records individuals satisfying demographic requirements","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireDemographics.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Restrict cohort on patient demographics — requireDemographics","text":"","code":"# \\donttest{ library(CohortConstructor) cdm <- mockCohortConstructor(nPerson = 100) cdm$cohort1 |> requireDemographics(indexDate = \"cohort_start_date\", ageRange = list(c(18, 65)), sex = \"Female\", minPriorObservation = 365) #> ! cohort columns will be reordered to match the expected order: #> cohort_definition_id, subject_id, cohort_start_date, and cohort_end_date. #> # Source: table [3 x 4] #> # Database: DuckDB v1.0.0 [unknown@Linux 6.5.0-1025-azure:R 4.4.1/:memory:] #> cohort_definition_id subject_id cohort_start_date cohort_end_date #> #> 1 1 32 1991-09-11 2002-11-15 #> 2 1 38 1990-05-01 1994-07-14 #> 3 1 85 2000-05-09 2001-11-16 # }"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireFutureObservation.html","id":null,"dir":"Reference","previous_headings":"","what":"Restrict cohort on future observation — requireFutureObservation","title":"Restrict cohort on future observation — requireFutureObservation","text":"requireFutureObservation() filters cohort records, keeping records individuals satisfy specified future observation criteria.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireFutureObservation.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Restrict cohort on future observation — requireFutureObservation","text":"","code":"requireFutureObservation( cohort, minFutureObservation, cohortId = NULL, indexDate = \"cohort_start_date\", name = tableName(cohort) )"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireFutureObservation.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Restrict cohort on future observation — requireFutureObservation","text":"cohort cohort table cdm reference. minFutureObservation minimum number future observation days database. cohortId IDs cohorts modify. NULL, cohorts used; otherwise, specified cohorts modified, rest remain unchanged. indexDate Variable cohort contains date compute demographics characteristics restrict . name Name new cohort future observation restriction.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireFutureObservation.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Restrict cohort on future observation — requireFutureObservation","text":"cohort table records individuals satisfying future observation requirement","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireFutureObservation.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Restrict cohort on future observation — requireFutureObservation","text":"","code":"# \\donttest{ library(CohortConstructor) cdm <- mockCohortConstructor() cdm$cohort1 |> requireFutureObservation(indexDate = \"cohort_start_date\", minFutureObservation = 30) #> ! cohort columns will be reordered to match the expected order: #> cohort_definition_id, subject_id, cohort_start_date, and cohort_end_date. #> # Source: table [10 x 4] #> # Database: DuckDB v1.0.0 [unknown@Linux 6.5.0-1025-azure:R 4.4.1/:memory:] #> cohort_definition_id subject_id cohort_start_date cohort_end_date #> #> 1 1 1 2001-05-30 2003-05-01 #> 2 1 1 2003-05-02 2006-06-10 #> 3 1 2 2000-05-04 2000-05-17 #> 4 1 2 2000-05-18 2001-01-23 #> 5 1 3 2015-01-27 2015-06-28 #> 6 1 4 1996-06-30 1998-11-20 #> 7 1 5 2012-03-20 2012-04-30 #> 8 1 5 2012-05-01 2012-07-24 #> 9 1 7 2014-03-07 2014-03-07 #> 10 1 7 2014-03-08 2014-03-20 # }"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireInDateRange.html","id":null,"dir":"Reference","previous_headings":"","what":"Require that an index date is within a date range — requireInDateRange","title":"Require that an index date is within a date range — requireInDateRange","text":"requireInDateRange() filters cohort records, keeping index date within specified date range.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireInDateRange.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Require that an index date is within a date range — requireInDateRange","text":"","code":"requireInDateRange( cohort, dateRange, cohortId = NULL, indexDate = \"cohort_start_date\", name = tableName(cohort) )"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireInDateRange.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Require that an index date is within a date range — requireInDateRange","text":"cohort cohort table cdm reference. dateRange window time index date must observed. cohortId IDs cohorts modify. NULL, cohorts used; otherwise, specified cohorts modified, rest remain unchanged. indexDate Variable cohort contains index date interest name Name new cohort restriction.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireInDateRange.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Require that an index date is within a date range — requireInDateRange","text":"cohort table cohort entries outside date range dropped","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireInDateRange.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Require that an index date is within a date range — requireInDateRange","text":"","code":"# \\donttest{ library(CohortConstructor) cdm <- mockCohortConstructor(nPerson = 100) cdm$cohort1 |> requireInDateRange(indexDate = \"cohort_start_date\", dateRange = as.Date(c(\"2010-01-01\", \"2019-01-01\"))) #> # Source: table [?? x 4] #> # Database: DuckDB v1.0.0 [unknown@Linux 6.5.0-1025-azure:R 4.4.1/:memory:] #> cohort_definition_id subject_id cohort_start_date cohort_end_date #> #> 1 1 6 2011-03-07 2014-01-24 #> 2 1 7 2014-03-08 2014-03-19 #> 3 1 13 2014-06-24 2014-06-29 #> 4 1 13 2014-06-30 2014-08-07 #> 5 1 17 2017-03-28 2017-04-05 #> 6 1 18 2012-01-30 2012-05-21 #> 7 1 24 2016-11-15 2016-11-22 #> 8 1 24 2016-11-23 2016-11-29 #> 9 1 24 2016-11-30 2017-01-25 #> 10 1 31 2013-03-29 2014-02-09 #> # ℹ more rows # }"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireIsEntry.html","id":null,"dir":"Reference","previous_headings":"","what":"Restrict cohort to specific entry — requireIsEntry","title":"Restrict cohort to specific entry — requireIsEntry","text":"requireIsFirstEntry() filters cohort records, keeping first cohort entry per person.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireIsEntry.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Restrict cohort to specific entry — requireIsEntry","text":"","code":"requireIsEntry(cohort, entryRange, cohortId = NULL, name = tableName(cohort))"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireIsEntry.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Restrict cohort to specific entry — requireIsEntry","text":"cohort cohort table cdm reference. entryRange Range entries include. cohortId IDs cohorts modify. NULL, cohorts used; otherwise, specified cohorts modified, rest remain unchanged. name Name new cohort restriction.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireIsEntry.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Restrict cohort to specific entry — requireIsEntry","text":"cohort table cdm reference.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireIsEntry.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Restrict cohort to specific entry — requireIsEntry","text":"","code":"# \\donttest{ library(CohortConstructor) cdm <- mockCohortConstructor() cdm$cohort1 <- requireIsEntry(cdm$cohort1, c(1, Inf)) # }"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireIsFirstEntry.html","id":null,"dir":"Reference","previous_headings":"","what":"Restrict cohort to first entry — requireIsFirstEntry","title":"Restrict cohort to first entry — requireIsFirstEntry","text":"requireIsFirstEntry() filters cohort records, keeping first cohort entry per person.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireIsFirstEntry.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Restrict cohort to first entry — requireIsFirstEntry","text":"","code":"requireIsFirstEntry(cohort, cohortId = NULL, name = tableName(cohort))"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireIsFirstEntry.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Restrict cohort to first entry — requireIsFirstEntry","text":"cohort cohort table cdm reference. cohortId IDs cohorts modify. NULL, cohorts used; otherwise, specified cohorts modified, rest remain unchanged. name Name new cohort restriction.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireIsFirstEntry.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Restrict cohort to first entry — requireIsFirstEntry","text":"cohort table cdm reference.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireIsFirstEntry.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Restrict cohort to first entry — requireIsFirstEntry","text":"","code":"# \\donttest{ library(CohortConstructor) cdm <- mockCohortConstructor() cdm$cohort1 <- requireIsFirstEntry(cdm$cohort1) # }"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireIsLastEntry.html","id":null,"dir":"Reference","previous_headings":"","what":"Restrict cohort to last entry per person — requireIsLastEntry","title":"Restrict cohort to last entry per person — requireIsLastEntry","text":"requireIsLastEntry() filters cohort records, keeping last cohort entry per person.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireIsLastEntry.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Restrict cohort to last entry per person — requireIsLastEntry","text":"","code":"requireIsLastEntry(cohort, cohortId = NULL, name = tableName(cohort))"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireIsLastEntry.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Restrict cohort to last entry per person — requireIsLastEntry","text":"cohort cohort table cdm reference. cohortId IDs cohorts modify. NULL, cohorts used; otherwise, specified cohorts modified, rest remain unchanged. name Name new cohort restriction.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireIsLastEntry.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Restrict cohort to last entry per person — requireIsLastEntry","text":"cohort table cdm reference.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireIsLastEntry.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Restrict cohort to last entry per person — requireIsLastEntry","text":"","code":"# \\donttest{ library(CohortConstructor) cdm <- mockCohortConstructor() cdm$cohort1 <- requireIsLastEntry(cdm$cohort1) # }"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requirePriorObservation.html","id":null,"dir":"Reference","previous_headings":"","what":"Restrict cohort on prior observation — requirePriorObservation","title":"Restrict cohort on prior observation — requirePriorObservation","text":"requirePriorObservation() filters cohort records, keeping records individuals satisfy specified prior observation criteria.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requirePriorObservation.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Restrict cohort on prior observation — requirePriorObservation","text":"","code":"requirePriorObservation( cohort, minPriorObservation, cohortId = NULL, indexDate = \"cohort_start_date\", name = tableName(cohort) )"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requirePriorObservation.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Restrict cohort on prior observation — requirePriorObservation","text":"cohort cohort table cdm reference. minPriorObservation minimum number prior observation days database. cohortId IDs cohorts modify. NULL, cohorts used; otherwise, specified cohorts modified, rest remain unchanged. indexDate Variable cohort contains date compute demographics characteristics restrict . name Name new cohort prior observation restriction.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requirePriorObservation.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Restrict cohort on prior observation — requirePriorObservation","text":"cohort table records individuals satisfying prior observation requirement","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requirePriorObservation.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Restrict cohort on prior observation — requirePriorObservation","text":"","code":"# \\donttest{ library(CohortConstructor) cdm <- mockCohortConstructor() cdm$cohort1 |> requirePriorObservation(indexDate = \"cohort_start_date\", minPriorObservation = 365) #> ! cohort columns will be reordered to match the expected order: #> cohort_definition_id, subject_id, cohort_start_date, and cohort_end_date. #> # Source: table [4 x 4] #> # Database: DuckDB v1.0.0 [unknown@Linux 6.5.0-1025-azure:R 4.4.1/:memory:] #> cohort_definition_id subject_id cohort_start_date cohort_end_date #> #> 1 1 1 2003-05-02 2006-06-10 #> 2 1 2 2000-05-04 2000-05-17 #> 3 1 2 2000-05-18 2001-01-23 #> 4 1 4 1996-06-30 1998-11-20 # }"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireSex.html","id":null,"dir":"Reference","previous_headings":"","what":"Restrict cohort on sex — requireSex","title":"Restrict cohort on sex — requireSex","text":"requireSex() filters cohort records, keeping records individuals satisfy specified sex criteria.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireSex.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Restrict cohort on sex — requireSex","text":"","code":"requireSex(cohort, sex, cohortId = NULL, name = tableName(cohort))"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireSex.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Restrict cohort on sex — requireSex","text":"cohort cohort table cdm reference. sex Can \"\", \"Male\" \"Female\". one latter, sex included. cohortId IDs cohorts modify. NULL, cohorts used; otherwise, specified cohorts modified, rest remain unchanged. name Name new cohort sex requirements.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireSex.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Restrict cohort on sex — requireSex","text":"cohort table records individuals satisfying sex requirement","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireSex.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Restrict cohort on sex — requireSex","text":"","code":"# \\donttest{ library(CohortConstructor) cdm <- mockCohortConstructor() cdm$cohort1 |> requireSex(sex = \"Female\") #> ! cohort columns will be reordered to match the expected order: #> cohort_definition_id, subject_id, cohort_start_date, and cohort_end_date. #> # Source: table [5 x 4] #> # Database: DuckDB v1.0.0 [unknown@Linux 6.5.0-1025-azure:R 4.4.1/:memory:] #> cohort_definition_id subject_id cohort_start_date cohort_end_date #> #> 1 1 2 2000-05-04 2000-05-17 #> 2 1 2 2000-05-18 2001-01-23 #> 3 1 3 2015-01-27 2015-06-28 #> 4 1 5 2012-03-20 2012-04-30 #> 5 1 5 2012-05-01 2012-07-24 # }"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireTableIntersect.html","id":null,"dir":"Reference","previous_headings":"","what":"Require cohort subjects are present in another clinical table — requireTableIntersect","title":"Require cohort subjects are present in another clinical table — requireTableIntersect","text":"requireTableIntersect() filters cohort table based requirement individual seen (seen) record (records) clinical table time window around index date.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireTableIntersect.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Require cohort subjects are present in another clinical table — requireTableIntersect","text":"","code":"requireTableIntersect( cohort, tableName, window, intersections = c(1, Inf), cohortId = NULL, indexDate = \"cohort_start_date\", targetStartDate = startDateColumn(tableName), targetEndDate = endDateColumn(tableName), censorDate = NULL, name = tableName(cohort) )"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireTableIntersect.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Require cohort subjects are present in another clinical table — requireTableIntersect","text":"cohort cohort table cdm reference. tableName Name table check intersect. window Window consider events . intersections range indicating number intersections criteria fulfilled. single number passed, number intersections must match . cohortId IDs cohorts modify. NULL, cohorts used; otherwise, specified cohorts modified, rest remain unchanged. indexDate Variable x contains date compute intersection. targetStartDate Date reference cohort table, either start (overlap) (incidence). targetEndDate Date reference cohort table, either end (overlap) NULL (incidence). censorDate Whether censor overlap events specific date column date x. name Name new cohort future observation restriction.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireTableIntersect.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Require cohort subjects are present in another clinical table — requireTableIntersect","text":"Cohort table table kept (table negate = TRUE)","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/requireTableIntersect.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Require cohort subjects are present in another clinical table — requireTableIntersect","text":"","code":"# \\donttest{ library(CohortConstructor) cdm <- mockCohortConstructor(drugExposure = TRUE) cdm$cohort1 |> requireTableIntersect(tableName = \"drug_exposure\", indexDate = \"cohort_start_date\", window = c(-Inf, 0)) #> # Source: table [7 x 4] #> # Database: DuckDB v1.0.0 [unknown@Linux 6.5.0-1025-azure:R 4.4.1/:memory:] #> cohort_definition_id subject_id cohort_start_date cohort_end_date #> #> 1 1 1 2003-05-02 2006-06-10 #> 2 1 2 2000-05-04 2000-05-17 #> 3 1 2 2000-05-18 2001-01-23 #> 4 1 3 2015-01-27 2015-06-28 #> 5 1 4 1996-06-30 1998-11-20 #> 6 1 5 2012-05-01 2012-07-24 #> 7 1 7 2014-03-08 2014-03-20 # }"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/sampleCohorts.html","id":null,"dir":"Reference","previous_headings":"","what":"Sample a cohort table for a given number of individuals. — sampleCohorts","title":"Sample a cohort table for a given number of individuals. — sampleCohorts","text":"sampleCohorts() samples existing cohort table given number people. records individuals preserved.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/sampleCohorts.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Sample a cohort table for a given number of individuals. — sampleCohorts","text":"","code":"sampleCohorts(cohort, cohortId = NULL, n, name = tableName(cohort))"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/sampleCohorts.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Sample a cohort table for a given number of individuals. — sampleCohorts","text":"cohort cohort table cdm reference. cohortId IDs cohorts include. NULL cohorts considered. Cohorts included sampled. n Number people sampled included cohort. name Name new sampled cohort.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/sampleCohorts.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Sample a cohort table for a given number of individuals. — sampleCohorts","text":"Cohort table specified cohorts sampled.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/sampleCohorts.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Sample a cohort table for a given number of individuals. — sampleCohorts","text":"","code":"# \\donttest{ library(CohortConstructor) cdm <- mockCohortConstructor(nPerson = 100) cdm$cohort2 |> sampleCohorts(cohortId = 1, n = 10) #> ! cohort columns will be reordered to match the expected order: #> cohort_definition_id, subject_id, cohort_start_date, and cohort_end_date. #> # Source: table [?? x 4] #> # Database: DuckDB v1.0.0 [unknown@Linux 6.5.0-1025-azure:R 4.4.1/:memory:] #> cohort_definition_id subject_id cohort_start_date cohort_end_date #> #> 1 1 6 2011-03-07 2014-01-24 #> 2 1 7 2014-03-08 2014-03-19 #> 3 1 13 2014-06-24 2014-06-29 #> 4 1 13 2014-06-30 2014-08-07 #> 5 1 17 2017-03-28 2017-04-05 #> 6 1 22 1993-09-22 1994-04-10 #> 7 1 22 1994-04-11 1996-04-26 #> 8 1 22 1996-04-27 1999-08-31 #> 9 1 31 2013-03-29 2014-02-09 #> 10 1 60 1974-02-12 1979-10-10 #> # ℹ more rows # }"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/stratifyCohorts.html","id":null,"dir":"Reference","previous_headings":"","what":"Create a new cohort table from stratifying an existing one — stratifyCohorts","title":"Create a new cohort table from stratifying an existing one — stratifyCohorts","text":"stratifyCohorts() creates new cohorts, splitting existing cohort based specified columns stratify .","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/stratifyCohorts.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create a new cohort table from stratifying an existing one — stratifyCohorts","text":"","code":"stratifyCohorts( cohort, strata, cohortId = NULL, removeStrata = TRUE, name = tableName(cohort) )"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/stratifyCohorts.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create a new cohort table from stratifying an existing one — stratifyCohorts","text":"cohort cohort table cdm reference. strata strata list point columns cohort table. cohortId IDs cohorts include. NULL cohorts considered. Cohorts included removed cohort set. removeStrata Whether remove strata columns final cohort table. name Name new cohort.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/stratifyCohorts.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create a new cohort table from stratifying an existing one — stratifyCohorts","text":"Cohort table stratified.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/stratifyCohorts.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Create a new cohort table from stratifying an existing one — stratifyCohorts","text":"","code":"# \\donttest{ library(CohortConstructor) library(PatientProfiles) cdm <- mockCohortConstructor() cdm$my_cohort <- cdm$cohort1 |> addAge(ageGroup = list(\"child\" = c(0, 17), \"adult\" = c(18, Inf))) |> addSex() |> stratifyCohorts( strata = list(\"sex\", c(\"sex\", \"age_group\")), name = \"my_cohort\" ) #> Warning: ! 5 casted column in my_cohort (cohort_attrition) as do not match expected #> column type: #> • `number_records` from numeric to integer #> • `number_subjects` from numeric to integer #> • `reason_id` from numeric to integer #> • `excluded_records` from numeric to integer #> • `excluded_subjects` from numeric to integer #> ! cohort columns will be reordered to match the expected order: #> cohort_definition_id, subject_id, cohort_start_date, and cohort_end_date. cdm$my_cohort #> # Source: table [?? x 5] #> # Database: DuckDB v1.0.0 [unknown@Linux 6.5.0-1025-azure:R 4.4.1/:memory:] #> cohort_definition_id subject_id cohort_start_date cohort_end_date age #> #> 1 2 1 2001-05-30 2003-05-01 3 #> 2 2 1 2003-05-02 2006-06-10 5 #> 3 1 2 2000-05-04 2000-05-17 37 #> 4 1 2 2000-05-18 2001-01-23 37 #> 5 1 3 2015-01-27 2015-06-28 28 #> 6 2 4 1996-06-30 1998-11-20 17 #> 7 1 5 2012-03-20 2012-04-30 39 #> 8 1 5 2012-05-01 2012-07-24 39 #> 9 2 7 2014-03-07 2014-03-07 27 #> 10 2 7 2014-03-08 2014-03-20 27 #> # ℹ more rows settings(cdm$my_cohort) #> # A tibble: 6 × 8 #> cohort_definition_id cohort_name target_cohort_id target_cohort_name #> #> 1 1 cohort_1_female 1 cohort_1 #> 2 2 cohort_1_male 1 cohort_1 #> 3 3 cohort_1_female_adult 1 cohort_1 #> 4 4 cohort_1_female_child 1 cohort_1 #> 5 5 cohort_1_male_adult 1 cohort_1 #> 6 6 cohort_1_male_child 1 cohort_1 #> # ℹ 4 more variables: target_cohort_table_name , strata_columns , #> # sex , age_group attrition(cdm$my_cohort) #> # A tibble: 16 × 7 #> cohort_definition_id number_records number_subjects reason_id reason #> #> 1 1 10 6 1 Initial qualif… #> 2 1 5 3 2 filter strata:… #> 3 2 10 6 1 Initial qualif… #> 4 2 5 3 2 filter strata:… #> 5 3 10 6 1 Initial qualif… #> 6 3 5 3 2 filter strata:… #> 7 3 5 3 3 filter strata:… #> 8 4 10 6 1 Initial qualif… #> 9 4 5 3 2 filter strata:… #> 10 4 0 0 3 filter strata:… #> 11 5 10 6 1 Initial qualif… #> 12 5 5 3 2 filter strata:… #> 13 5 2 1 3 filter strata:… #> 14 6 10 6 1 Initial qualif… #> 15 6 5 3 2 filter strata:… #> 16 6 3 2 3 filter strata:… #> # ℹ 2 more variables: excluded_records , excluded_subjects # }"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/subsetCohorts.html","id":null,"dir":"Reference","previous_headings":"","what":"Generate a cohort table using a subset of cohorts from another table. — subsetCohorts","title":"Generate a cohort table using a subset of cohorts from another table. — subsetCohorts","text":"subsetCohorts() filters existing cohort table, keeping records cohorts specified.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/subsetCohorts.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Generate a cohort table using a subset of cohorts from another table. — subsetCohorts","text":"","code":"subsetCohorts(cohort, cohortId, minCohortCount = 0, name = tableName(cohort))"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/subsetCohorts.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Generate a cohort table using a subset of cohorts from another table. — subsetCohorts","text":"cohort cohort table cdm reference. cohortId IDs cohorts include. NULL cohorts considered. Cohorts included removed cohort set. minCohortCount minimum count cohort included. Default 0, meaning non-empty cohorts included. Cohorts included removed cohort set. name Name new cohort demographic requirements.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/subsetCohorts.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Generate a cohort table using a subset of cohorts from another table. — subsetCohorts","text":"Cohort table cohorts cohortId.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/subsetCohorts.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Generate a cohort table using a subset of cohorts from another table. — subsetCohorts","text":"","code":"# \\donttest{ library(CohortConstructor) cdm <- mockCohortConstructor(nPerson = 100) cdm$cohort1 |> subsetCohorts(cohortId = 1) #> # Source: table [?? x 4] #> # Database: DuckDB v1.0.0 [unknown@Linux 6.5.0-1025-azure:R 4.4.1/:memory:] #> cohort_definition_id subject_id cohort_start_date cohort_end_date #> #> 1 1 1 2001-02-15 2001-10-28 #> 2 1 1 2001-10-29 2003-03-15 #> 3 1 1 2003-03-16 2005-02-08 #> 4 1 2 1999-11-11 2002-04-09 #> 5 1 6 2011-03-07 2014-01-24 #> 6 1 7 2014-03-08 2014-03-19 #> 7 1 10 2019-12-04 2019-12-14 #> 8 1 13 2014-06-24 2014-06-29 #> 9 1 13 2014-06-30 2014-08-07 #> 10 1 14 1986-11-29 1987-12-14 #> # ℹ more rows # }"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/trimDemographics.html","id":null,"dir":"Reference","previous_headings":"","what":"Restrict cohort on patient demographics — trimDemographics","title":"Restrict cohort on patient demographics — trimDemographics","text":"trimDemographics() resets cohort start end date based specified demographic criteria satisfied.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/trimDemographics.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Restrict cohort on patient demographics — trimDemographics","text":"","code":"trimDemographics( cohort, cohortId = NULL, ageRange = NULL, sex = NULL, minPriorObservation = NULL, minFutureObservation = NULL, name = tableName(cohort) )"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/trimDemographics.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Restrict cohort on patient demographics — trimDemographics","text":"cohort cohort table cdm reference. cohortId IDs cohorts modify. NULL, cohorts used; otherwise, specified cohorts modified, rest remain unchanged. ageRange list minimum maximum age. sex Can \"\", \"Male\" \"Female\". one latter, sex included. minPriorObservation minimum number prior observation days database. minFutureObservation minimum number future observation days database. name Name new cohort demographic requirements.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/trimDemographics.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Restrict cohort on patient demographics — trimDemographics","text":"cohort table records individuals satisfying demographic requirements","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/trimDemographics.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Restrict cohort on patient demographics — trimDemographics","text":"","code":"# \\donttest{ library(CohortConstructor) cdm <- mockCohortConstructor(nPerson = 100) cdm$cohort1 |> trimDemographics(ageRange = list(c(10, 30))) #> ℹ Building new trimmed cohort #> Adding demographics information #> Creating initial cohort #> Trim age #> ! cohort columns will be reordered to match the expected order: #> cohort_definition_id, subject_id, cohort_start_date, and cohort_end_date. #> ✔ Cohort trimmed #> # Source: table [?? x 4] #> # Database: DuckDB v1.0.0 [unknown@Linux 6.5.0-1025-azure:R 4.4.1/:memory:] #> cohort_definition_id subject_id cohort_start_date cohort_end_date #> #> 1 1 43 2014-10-05 2015-09-27 #> 2 1 48 1970-07-29 1974-01-28 #> 3 1 64 1993-05-18 2001-05-18 #> 4 1 75 1974-01-17 1974-10-19 #> 5 1 43 2014-07-21 2014-10-04 #> 6 1 29 2006-11-24 2008-03-21 #> 7 1 43 2014-07-06 2014-07-20 #> 8 1 29 2006-10-02 2006-11-23 #> 9 1 29 2006-07-07 2006-10-01 #> 10 1 14 1987-12-15 1988-03-19 #> # ℹ more rows # }"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/trimToDateRange.html","id":null,"dir":"Reference","previous_headings":"","what":"Trim cohort dates to be within a date range — trimToDateRange","title":"Trim cohort dates to be within a date range — trimToDateRange","text":"trimToDateRange() resets cohort start end date based specified date range.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/trimToDateRange.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Trim cohort dates to be within a date range — trimToDateRange","text":"","code":"trimToDateRange( cohort, dateRange, cohortId = NULL, startDate = \"cohort_start_date\", endDate = \"cohort_end_date\", name = tableName(cohort) )"},{"path":"https://ohdsi.github.io/CohortConstructor/reference/trimToDateRange.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Trim cohort dates to be within a date range — trimToDateRange","text":"cohort cohort table cdm reference. dateRange window time index date must observed. cohortId IDs cohorts modify. NULL, cohorts used; otherwise, specified cohorts modified, rest remain unchanged. startDate Variable earliest date. endDate Variable latest date. name Name new cohort restriction.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/trimToDateRange.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Trim cohort dates to be within a date range — trimToDateRange","text":"cohort table record timings updated within date range. records time outside range dropped.","code":""},{"path":"https://ohdsi.github.io/CohortConstructor/reference/trimToDateRange.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Trim cohort dates to be within a date range — trimToDateRange","text":"","code":"# \\donttest{ library(CohortConstructor) cdm <- mockCohortConstructor() cdm$cohort1 |> trimToDateRange(startDate = \"cohort_start_date\", endDate = \"cohort_end_date\", dateRange = as.Date(c(\"2015-01-01\", \"2015-12-31\"))) #> # Source: table [1 x 4] #> # Database: DuckDB v1.0.0 [unknown@Linux 6.5.0-1025-azure:R 4.4.1/:memory:] #> cohort_definition_id subject_id cohort_start_date cohort_end_date #>
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ a03_require_in_date_range
+ + + +a03_require_in_date_range.Rmd
+
+
+
+
+
+
+
+
+
+
+
+
+ a03_require_demographics
+ + + +a04_require_demographics.Rmd
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+a04_require_intersections
+ + + +a04_require_intersections.RmdFor this example we’ll use the Eunomia synthetic data from the +CDMConnector package.
+
+library(CDMConnector)
+library(CohortConstructor)
+con <- DBI::dbConnect(duckdb::duckdb(), dbdir = eunomia_dir())
+cdm <- cdm_from_con(con, cdm_schema = "main",
+ write_schema = c(prefix = "my_study_", schema = "main"))Let’s start by creating two drug cohorts, one for users of diclofenac +and another for users of acetaminophen.
+
+cdm$medications <- conceptCohort(cdm = cdm,
+ conceptSet = list("diclofenac" = 1124300,
+ "acetaminophen" = 1127433),
+ name = "medications")
+cohortCount(cdm$medications)
+#> # A tibble: 2 × 3
+#> cohort_definition_id number_records number_subjects
+#> <int> <int> <int>
+#> 1 1 9365 2580
+#> 2 2 830 830As well as our medication cohorts, let’s also make another cohort +containing individuals with a record of a GI bleed. Later we’ll use this +cohort when specifying inclusion/ exclusion criteria.
+
+cdm$gi_bleed <- conceptCohort(cdm = cdm,
+ conceptSet = list("gi_bleed" = 192671),
+ name = "gi_bleed")
+
+
+Keep only the first record per person +
+Individuals can contribute multiple records per cohort. However now
+we’ll keep only their earliest cohort entry of the remaining records
+using requireIsFirstEntry() from CohortConstructor. We can
+see that after this we have one record per person for each cohort.
+cdm$medications <- cdm$medications %>%
+ requireIsFirstEntry()
+
+cohortCount(cdm$medications)
+#> # A tibble: 2 × 3
+#> cohort_definition_id number_records number_subjects
+#> <int> <int> <int>
+#> 1 1 2580 2580
+#> 2 2 830 830Note, applying this criteria later after applying other criteria +would result in a different result. Here we’re requiring that +individuals meet inclusion criteria at the time of their first use of +diclofenac or acetaminophen.
+
+
+
+
+Applying restrictions on patient demographics +
+Using requireDemographics() we’ll require that
+individuals in our medications cohort are female and, relative to their
+cohort start date, are between 18 and 85 with at least 30 days of prior
+observation time in the database.
+cdm$medications <- cdm$medications %>%
+ requireDemographics(indexDate = "cohort_start_date",
+ ageRange = list(c(18, 85)),
+ sex = "Female",
+ minPriorObservation = 30)We can then see how many people have people have been excluded based +on these demographic requirements.
+
+cohort_attrition(cdm$medications) %>%
+ dplyr::filter(reason == "Demographic requirements") %>%
+ dplyr::glimpse()
+#> Rows: 0
+#> Columns: 7
+#> $ cohort_definition_id <int>
+#> $ number_records <int>
+#> $ number_subjects <int>
+#> $ reason_id <int>
+#> $ reason <chr>
+#> $ excluded_records <int>
+#> $ excluded_subjects <int>
+
+
+
+Restrictions on calendar dates +
+Next we can use requireInDateRange() to keep only those
+records where cohort entry was between a particular date range.
+cdm$medications <- cdm$medications %>%
+ requireInDateRange(indexDate = "cohort_start_date",
+ dateRange = as.Date(c("2000-01-01", "2015-01-01")))Again, we can track cohort attrition
+
+cohort_attrition(cdm$medications) %>%
+ dplyr::filter(reason == "cohort_start_date between 2000-01-01 and 2015-01-01") %>%
+ dplyr::glimpse()
+#> Rows: 0
+#> Columns: 7
+#> $ cohort_definition_id <int>
+#> $ number_records <int>
+#> $ number_subjects <int>
+#> $ reason_id <int>
+#> $ reason <chr>
+#> $ excluded_records <int>
+#> $ excluded_subjects <int>
+
+
+
+ Restrictions on cohort presence +
+We could require that individuals in our medication cohorts have a
+history of GI bleed. To do this we can use the
+requireCohortIntersect() function, requiring that
+individuals have one or more intersections with the GI bleed cohort.
+cdm$medications_gi_bleed <- cdm$medications %>%
+ requireCohortIntersect(intersections = c(1,Inf),
+ targetCohortTable = "gi_bleed",
+ targetCohortId = 1,
+ indexDate = "cohort_start_date",
+ window = c(-Inf, 0),
+ name = "medications_gi_bleed")
+cohort_count(cdm$medications_gi_bleed)
+#> # A tibble: 2 × 3
+#> cohort_definition_id number_records number_subjects
+#> <int> <int> <int>
+#> 1 1 0 0
+#> 2 2 0 0Instead of requiring that individuals have history of GI bleed, we
+could instead require that they are don’t have any history of it. In
+this case we can again use the requireCohortIntersect()
+function, but this time set the intersections argument to 0 to require
+individuals’ absence in this other cohort rather than their presence in
+it.
+cdm$medications_no_gi_bleed <- cdm$medications %>%
+ requireCohortIntersect(intersections = 0,
+ targetCohortTable = "gi_bleed",
+ targetCohortId = 1,
+ indexDate = "cohort_start_date",
+ window = c(-Inf, 0),
+ name = "medications_no_gi_bleed")
+cohort_count(cdm$medications_no_gi_bleed)
+#> # A tibble: 2 × 3
+#> cohort_definition_id number_records number_subjects
+#> <int> <int> <int>
+#> 1 1 101 101
+#> 2 2 179 179
+
+
+
+
+
+
+
+
+
+
+
+
+ a04_update_cohort_start_end
+ + + +a05_update_cohort_start_end.Rmd
+
+
+
+
+
+
+
+
+
+
+
+
+ a05_concatanate_cohorts
+ + + +a06_concatanate_cohorts.Rmd
+
+
+
+
+
+
+
+
+
+
+
+
+ a06_filter_cohorts
+ + + +a07_filter_cohorts.Rmd
+
+
+
+
+
+
+
+
+
+
+
+
+ a07_split_cohorts
+ + + +a08_split_cohorts.Rmd
+
+
+
+
+
+
+
+
+
+
+
+
+ a08_combine_cohorts
+ + + +a09_combine_cohorts.Rmd
+
+
+
+
+
+
+
+
+
+
+
+Generate a matched age and sex cohort
+ + + +a10_match_cohorts.Rmd
+
+Introduction +
+CohortConstructor packages includes a function to obtain an age and
+sex matched cohort, the generateMatchedCohortSet()
+function. In this vignette, we will explore the usage of this
+function.
+
+
+
+Create mock data +
+We will first use mockDrugUtilisation() function from
+DrugUtilisation package to create mock data.
+library(CohortConstructor)
+library(dplyr)
+
+cdm <- mockCohortConstructor(nPerson = 1000)As we will use cohort1 to explore
+generateMatchedCohortSet(), let us first use
+cohort_attrition() from CDMConnector package to explore
+this cohort:
+CDMConnector::cohort_set(cdm$cohort1)
+
+
+
+ Use generateMatchedCohortSet() to create an age-sex matched +cohort +
+Let us first see an example of how this function works. For its
+usage, we need to provide a cdm object, the
+targetCohortName, which is the name of the table containing
+the cohort of interest, and the name of the new generated
+tibble containing the cohort and the matched cohort. We will also use
+the argument targetCohortId to specify that we only want a
+matched cohort for cohort_definition_id = 1.
+cdm$matched_cohort1 <- matchCohorts(
+ cohort = cdm$cohort1,
+ cohortId = 1,
+ name = "matched_cohort1")
+
+CDMConnector::cohort_set(cdm$matched_cohort1)Notice that in the generated tibble, there are two cohorts:
+cohort_definition_id = 1 (original cohort), and
+cohort_definition_id = 4 (matched cohort).
+target_cohort_name column indicates which is the original
+cohort. match_sex and match_year_of_birth adopt
+boolean values (TRUE/FALSE) indicating if we
+have matched for sex and age, or not. match_status indicate if
+it is the original cohort (target) or if it is the matched
+cohort (matched). target_cohort_id indicates which
+is the cohort_id of the original cohort.
Check the exclusion criteria applied to generate the new cohorts by
+using cohort_attrition() from CDMConnector package:
+# Original cohort
+CDMConnector::cohort_attrition(cdm$matched_cohort1) %>% filter(cohort_definition_id == 1)
+
+# Matched cohort
+CDMConnector::cohort_attrition(cdm$matched_cohort1) %>% filter(cohort_definition_id == 4)Briefly, from the original cohort, we exclude first those individuals +that do not have a match, and then individuals that their matching pair +is not in observation during the assigned cohort_start_date. +From the matched cohort, we start from the whole database and we first +exclude individuals that are in the original cohort. Afterwards, we +exclude individuals that do not have a match, then individuals that are +not in observation during the assigned cohort_start_date, and +finally we remove as many individuals as required to fulfill the +ratio.
+Notice that matching pairs are randomly assigned, so it is probable
+that every time you execute this function, the generated cohorts change.
+Use set.seed() to avoid this.
+
+matchSex parameter +
+matchSex is a boolean parameter
+(TRUE/FALSE) indicating if we want to match by
+sex (TRUE) or we do not want to (FALSE).
+
+matchYear parameter +
+matchYear is another boolean parameter
+(TRUE/FALSE) indicating if we want to match by
+age (TRUE) or we do not want (FALSE).
Notice that if matchSex = FALSE and
+matchYear = FALSE, we will obtain an unmatched comparator
+cohort.
+
+
+
+ratio parameter +
+The default matching ratio is 1:1 (ratio = 1). Use
+cohort_counts() from CDMConnector to check if the matching
+has been done as desired.
+CDMConnector::cohort_count(cdm$matched_cohort1)You can modify the ratio parameter to tailor your
+matched cohort. ratio can adopt values from 1 to Inf.
+cdm$matched_cohort2 <- matchCohorts(
+ cohort = cdm$cohort1,
+ cohortId = 1,
+ name = "matched_cohort2",
+ ratio = Inf)
+
+CDMConnector::cohort_count(cdm$matched_cohort2)
+
+
+Generate matched cohorts simultaneously across multiple cohorts +
+All these functionalities can be implemented across multiple cohorts
+simultaneously. Specify in targetCohortId parameter which
+are the cohorts of interest. If set to NULL, all the cohorts present in
+targetCohortName will be matched.
+cdm$matched_cohort3 <- matchCohorts(
+ cohort = cdm$cohort1,
+ cohortId = c(1,3),
+ name = "matched_cohort3",
+ ratio = 2)
+
+CDMConnector::cohort_set(cdm$matched_cohort3) %>% arrange(cohort_definition_id)
+
+CDMConnector::cohort_count(cdm$matched_cohort3) %>% arrange(cohort_definition_id)Notice that each cohort has their own (and independent of other +cohorts) matched cohort.
+All vignettes
- Introduction
- Building base cohorts -
- Applying cohort restrictions -
- Generate a matched age and sex cohort -
- Cohort manipulations +
- a02_require_specific_cohort_entry +
- a03_require_in_date_range +
- a03_require_demographics +
- a04_require_intersections +
- a04_update_cohort_start_end +
- a05_concatanate_cohorts +
- a06_filter_cohorts +
- a07_split_cohorts +
- a08_combine_cohorts +
- Generate a matched age and sex cohort
- Introduction
- Building base cohorts -
- Applying cohort restrictions -
- Generate a matched age and sex cohort -
- Cohort manipulations +
- a02_require_specific_cohort_entry +
- a03_require_in_date_range +
- a03_require_demographics +
- a04_require_intersections +
- a04_update_cohort_start_end +
- a05_concatanate_cohorts +
- a06_filter_cohorts +
- a07_split_cohorts +
- a08_combine_cohorts +
- Generate a matched age and sex cohort
- Introduction
- Building base cohorts -
- Applying cohort restrictions -
- Generate a matched age and sex cohort -
- Cohort manipulations +
- a02_require_specific_cohort_entry +
- a03_require_in_date_range +
- a03_require_demographics +
- a04_require_intersections +
- a04_update_cohort_start_end +
- a05_concatanate_cohorts +
- a06_filter_cohorts +
- a07_split_cohorts +
- a08_combine_cohorts +
- Generate a matched age and sex cohort
- Introduction
- Building base cohorts -
- Applying cohort restrictions -
- Generate a matched age and sex cohort -
- Cohort manipulations +
- a02_require_specific_cohort_entry +
- a03_require_in_date_range +
- a03_require_demographics +
- a04_require_intersections +
- a04_update_cohort_start_end +
- a05_concatanate_cohorts +
- a06_filter_cohorts +
- a07_split_cohorts +
- a08_combine_cohorts +
- Generate a matched age and sex cohort
- Introduction
- Building base cohorts -
- Applying cohort restrictions -
- Generate a matched age and sex cohort -
- Cohort manipulations +
- a02_require_specific_cohort_entry +
- a03_require_in_date_range +
- a03_require_demographics +
- a04_require_intersections +
- a04_update_cohort_start_end +
- a05_concatanate_cohorts +
- a06_filter_cohorts +
- a07_split_cohorts +
- a08_combine_cohorts +
- Generate a matched age and sex cohort
- Introduction
- Building base cohorts -
- Applying cohort restrictions -
- Generate a matched age and sex cohort -
- Cohort manipulations +
- a02_require_specific_cohort_entry +
- a03_require_in_date_range +
- a03_require_demographics +
- a04_require_intersections +
- a04_update_cohort_start_end +
- a05_concatanate_cohorts +
- a06_filter_cohorts +
- a07_split_cohorts +
- a08_combine_cohorts +
- Generate a matched age and sex cohort
Examples#> # Database: DuckDB v1.0.0 [unknown@Linux 6.5.0-1025-azure:R 4.4.1/:memory:]
#> cohort_definition_id subject_id cohort_start_date cohort_end_date entry_reason
#> <dbl> <dbl> <date> <date> <chr>
-#> 1 1 2 2001-01-01 2001-01-12 date_1
-#> 2 1 3 2015-02-14 2015-02-15 date_2
-#> 3 1 1 2001-08-01 2001-09-01 date_1; dat…
-#> 4 1 4 2002-12-09 2002-12-09 date_1; dat…
+#> 1 1 3 2015-02-14 2015-02-15 date_2
+#> 2 1 2 2001-01-01 2001-01-12 date_1
+#> 3 1 4 2002-12-09 2002-12-09 date_1; dat…
+#> 4 1 1 2001-08-01 2001-09-01 date_1; dat…
# }
diff --git a/reference/entryAtLastDate.html b/reference/entryAtLastDate.html
index eb934109..0de03567 100644
--- a/reference/entryAtLastDate.html
+++ b/reference/entryAtLastDate.html
@@ -20,9 +20,16 @@
- Introduction
- Building base cohorts
- - Applying cohort restrictions
- - Generate a matched age and sex cohort
- - Cohort manipulations
+ - a02_require_specific_cohort_entry
+ - a03_require_in_date_range
+ - a03_require_demographics
+ - a04_require_intersections
+ - a04_update_cohort_start_end
+ - a05_concatanate_cohorts
+ - a06_filter_cohorts
+ - a07_split_cohorts
+ - a08_combine_cohorts
+ - Generate a matched age and sex cohort
Examples#> # Database: DuckDB v1.0.0 [unknown@Linux 6.5.0-1025-azure:R 4.4.1/:memory:]
#> cohort_definition_id subject_id cohort_start_date cohort_end_date entry_reason
#> <dbl> <dbl> <date> <date> <chr>
-#> 1 1 1 2001-08-01 2001-09-01 date_2; dat…
+#> 1 1 1 2001-08-01 2001-09-01 date_1; dat…
#> 2 1 3 2015-02-14 2015-02-15 date_2
-#> 3 1 4 2002-12-09 2002-12-09 date_2; dat…
-#> 4 1 2 2001-01-01 2001-01-12 date_1
+#> 3 1 2 2001-01-01 2001-01-12 date_1
+#> 4 1 4 2002-12-09 2002-12-09 date_1; dat…
# }
diff --git a/reference/exitAtDeath.html b/reference/exitAtDeath.html
index 89faa332..f0dbd3f9 100644
--- a/reference/exitAtDeath.html
+++ b/reference/exitAtDeath.html
@@ -24,9 +24,16 @@
- Introduction
- Building base cohorts
- - Applying cohort restrictions
- - Generate a matched age and sex cohort
- - Cohort manipulations
+ - a02_require_specific_cohort_entry
+ - a03_require_in_date_range
+ - a03_require_demographics
+ - a04_require_intersections
+ - a04_update_cohort_start_end
+ - a05_concatanate_cohorts
+ - a06_filter_cohorts
+ - a07_split_cohorts
+ - a08_combine_cohorts
+ - Generate a matched age and sex cohort
Examples#> # Database: DuckDB v1.0.0 [unknown@Linux 6.5.0-1025-azure:R 4.4.1/:memory:]
#> cohort_definition_id subject_id cohort_start_date cohort_end_date
#> <int> <int> <date> <date>
-#> 1 3 7 2029-01-30 2050-08-27
-#> 2 2 8 1954-07-05 1955-07-17
-#> 3 2 5 2113-08-18 2144-11-05
-#> 4 2 2 1998-11-05 2008-01-27
-#> 5 2 1 1951-11-28 2019-01-16
-#> 6 1 6 2006-12-25 2022-11-01
-#> 7 3 10 2003-01-05 2060-02-27
-#> 8 2 3 1993-12-06 1997-05-26
-#> 9 2 9 2109-11-07 2115-08-03
-#> 10 1 4 2017-04-18 2077-11-07
+#> 1 2 2 1998-11-05 2008-01-27
+#> 2 2 1 1951-11-28 2019-01-16
+#> 3 1 6 2006-12-25 2022-11-01
+#> 4 3 10 2003-01-05 2060-02-27
+#> 5 2 3 1993-12-06 1997-05-26
+#> 6 2 9 2109-11-07 2115-08-03
+#> 7 1 4 2017-04-18 2077-11-07
+#> 8 2 8 1954-07-05 1955-07-17
+#> 9 2 5 2113-08-18 2144-11-05
+#> 10 3 7 2029-01-30 2050-08-27
# }
diff --git a/reference/exitAtFirstDate.html b/reference/exitAtFirstDate.html
index 840351d2..909bb494 100644
--- a/reference/exitAtFirstDate.html
+++ b/reference/exitAtFirstDate.html
@@ -22,9 +22,16 @@
- Introduction
- Building base cohorts
- - Applying cohort restrictions
- - Generate a matched age and sex cohort
- - Cohort manipulations
+ - a02_require_specific_cohort_entry
+ - a03_require_in_date_range
+ - a03_require_demographics
+ - a04_require_intersections
+ - a04_update_cohort_start_end
+ - a05_concatanate_cohorts
+ - a06_filter_cohorts
+ - a07_split_cohorts
+ - a08_combine_cohorts
+ - Generate a matched age and sex cohort
Examples#> # Database: DuckDB v1.0.0 [unknown@Linux 6.5.0-1025-azure:R 4.4.1/:memory:]
#> cohort_definition_id subject_id cohort_start_date cohort_end_date exit_reason
#> <dbl> <dbl> <date> <date> <chr>
-#> 1 1 3 2015-01-15 2015-01-15 date_1
-#> 2 1 4 2000-12-09 2002-12-09 date_1; dat…
-#> 3 1 1 2000-06-03 2001-08-01 date_1; dat…
-#> 4 1 2 2000-01-01 2001-01-01 date_1
+#> 1 1 1 2000-06-03 2001-08-01 date_1; dat…
+#> 2 1 2 2000-01-01 2001-01-01 date_1
+#> 3 1 4 2000-12-09 2002-12-09 date_1; dat…
+#> 4 1 3 2015-01-15 2015-01-15 date_1
# }
diff --git a/reference/exitAtLastDate.html b/reference/exitAtLastDate.html
index 27848c6a..0004a76a 100644
--- a/reference/exitAtLastDate.html
+++ b/reference/exitAtLastDate.html
@@ -22,9 +22,16 @@
- Introduction
- Building base cohorts
- - Applying cohort restrictions
- - Generate a matched age and sex cohort
- - Cohort manipulations
+ - a02_require_specific_cohort_entry
+ - a03_require_in_date_range
+ - a03_require_demographics
+ - a04_require_intersections
+ - a04_update_cohort_start_end
+ - a05_concatanate_cohorts
+ - a06_filter_cohorts
+ - a07_split_cohorts
+ - a08_combine_cohorts
+ - Generate a matched age and sex cohort
Examples#> # Database: DuckDB v1.0.0 [unknown@Linux 6.5.0-1025-azure:R 4.4.1/:memory:]
#> cohort_definition_id subject_id cohort_start_date cohort_end_date exit_reason
#> <dbl> <dbl> <date> <date> <chr>
-#> 1 1 2 2000-01-01 2001-01-01 date_1
-#> 2 1 1 2000-06-03 2001-08-01 date_1; dat…
-#> 3 1 4 2000-12-09 2002-12-09 date_1; dat…
-#> 4 1 3 2015-01-15 2015-04-15 date_2
+#> 1 1 3 2015-01-15 2015-04-15 date_2
+#> 2 1 1 2000-06-03 2001-08-01 date_2; dat…
+#> 3 1 2 2000-01-01 2001-01-01 date_1
+#> 4 1 4 2000-12-09 2002-12-09 date_2; dat…
# }
diff --git a/reference/exitAtObservationEnd.html b/reference/exitAtObservationEnd.html
index 9c0f46e7..d8e98a57 100644
--- a/reference/exitAtObservationEnd.html
+++ b/reference/exitAtObservationEnd.html
@@ -28,9 +28,16 @@
- Introduction
- Building base cohorts
- - Applying cohort restrictions
- - Generate a matched age and sex cohort
- - Cohort manipulations
+ - a02_require_specific_cohort_entry
+ - a03_require_in_date_range
+ - a03_require_demographics
+ - a04_require_intersections
+ - a04_update_cohort_start_end
+ - a05_concatanate_cohorts
+ - a06_filter_cohorts
+ - a07_split_cohorts
+ - a08_combine_cohorts
+ - Generate a matched age and sex cohort
Examples#> # Database: DuckDB v1.0.0 [unknown@Linux 6.5.0-1025-azure:R 4.4.1/:memory:]
#> cohort_definition_id subject_id cohort_start_date cohort_end_date
#> <int> <int> <date> <date>
-#> 1 1 4 1996-06-30 2013-12-31
-#> 2 1 7 2014-03-07 2014-04-09
-#> 3 1 5 2012-03-20 2013-02-10
-#> 4 1 1 2001-05-30 2013-06-29
+#> 1 1 7 2014-03-07 2014-04-09
+#> 2 1 2 2000-05-04 2003-06-15
+#> 3 1 4 1996-06-30 2013-12-31
+#> 4 1 5 2012-03-20 2013-02-10
#> 5 1 3 2015-01-27 2015-10-11
-#> 6 1 2 2000-05-04 2003-06-15
+#> 6 1 1 2001-05-30 2013-06-29
# }
diff --git a/reference/index.html b/reference/index.html
index d07f9784..1a6028f0 100644
--- a/reference/index.html
+++ b/reference/index.html
@@ -20,9 +20,16 @@
- Introduction
- Building base cohorts
- - Applying cohort restrictions
- - Generate a matched age and sex cohort
- - Cohort manipulations
+ - a02_require_specific_cohort_entry
+ - a03_require_in_date_range
+ - a03_require_demographics
+ - a04_require_intersections
+ - a04_update_cohort_start_end
+ - a05_concatanate_cohorts
+ - a06_filter_cohorts
+ - a07_split_cohorts
+ - a08_combine_cohorts
+ - Generate a matched age and sex cohort
- Introduction
- Building base cohorts -
- Applying cohort restrictions -
- Generate a matched age and sex cohort -
- Cohort manipulations +
- a02_require_specific_cohort_entry +
- a03_require_in_date_range +
- a03_require_demographics +
- a04_require_intersections +
- a04_update_cohort_start_end +
- a05_concatanate_cohorts +
- a06_filter_cohorts +
- a07_split_cohorts +
- a08_combine_cohorts +
- Generate a matched age and sex cohort
- Introduction
- Building base cohorts -
- Applying cohort restrictions -
- Generate a matched age and sex cohort -
- Cohort manipulations +
- a02_require_specific_cohort_entry +
- a03_require_in_date_range +
- a03_require_demographics +
- a04_require_intersections +
- a04_update_cohort_start_end +
- a05_concatanate_cohorts +
- a06_filter_cohorts +
- a07_split_cohorts +
- a08_combine_cohorts +
- Generate a matched age and sex cohort
Examples#> ℹ Creating copy of target cohort.
#> • 1 cohort to be matched.
#> ℹ Creating controls cohorts.
-#> Warning: ! 2 casted column in tmp_004_og_039_1724843782 (cohort_attrition) as do not
+#> Warning: ! 2 casted column in tmp_004_og_039_1724846139 (cohort_attrition) as do not
#> match expected column type:
#> • `number_records` from numeric to integer
#> • `number_subjects` from numeric to integer
@@ -141,14 +148,14 @@ Examples#> <int> <int> <date> <date> <dbl>
#> 1 1 118 1975-11-28 1981-05-30 6
#> 2 1 56 2007-09-28 2008-07-15 18
-#> 3 1 63 2008-08-23 2008-09-02 19
-#> 4 1 20 1985-08-15 1990-06-06 27
-#> 5 1 84 2000-04-13 2006-06-11 42
-#> 6 1 81 2009-08-19 2010-12-05 46
-#> 7 1 113 2015-09-05 2016-01-10 50
-#> 8 1 24 2016-12-17 2016-12-29 59
-#> 9 1 119 1982-09-08 1989-01-29 67
-#> 10 1 62 2017-04-27 2018-07-04 73
+#> 3 1 63 2008-05-20 2008-08-22 19
+#> 4 1 20 1990-06-07 1993-11-05 26
+#> 5 1 117 2002-09-07 2003-04-27 30
+#> 6 1 19 2003-06-22 2005-07-21 35
+#> 7 1 84 1995-05-12 1995-08-27 42
+#> 8 1 81 2009-08-19 2010-12-05 47
+#> 9 1 94 2017-11-01 2018-07-05 59
+#> 10 1 119 1978-01-10 1982-09-07 67
#> # ℹ more rows
# }
diff --git a/reference/measurementCohort.html b/reference/measurementCohort.html
index fbaebd6f..8dd3c542 100644
--- a/reference/measurementCohort.html
+++ b/reference/measurementCohort.html
@@ -44,9 +44,16 @@
- Introduction
- Building base cohorts
- - Applying cohort restrictions
- - Generate a matched age and sex cohort
- - Cohort manipulations
+ - a02_require_specific_cohort_entry
+ - a03_require_in_date_range
+ - a03_require_demographics
+ - a04_require_intersections
+ - a04_update_cohort_start_end
+ - a05_concatanate_cohorts
+ - a06_filter_cohorts
+ - a07_split_cohorts
+ - a08_combine_cohorts
+ - Generate a matched age and sex cohort
- Introduction
- Building base cohorts -
- Applying cohort restrictions -
- Generate a matched age and sex cohort -
- Cohort manipulations +
- a02_require_specific_cohort_entry +
- a03_require_in_date_range +
- a03_require_demographics +
- a04_require_intersections +
- a04_update_cohort_start_end +
- a05_concatanate_cohorts +
- a06_filter_cohorts +
- a07_split_cohorts +
- a08_combine_cohorts +
- Generate a matched age and sex cohort
- Introduction
- Building base cohorts -
- Applying cohort restrictions -
- Generate a matched age and sex cohort -
- Cohort manipulations +
- a02_require_specific_cohort_entry +
- a03_require_in_date_range +
- a03_require_demographics +
- a04_require_intersections +
- a04_update_cohort_start_end +
- a05_concatanate_cohorts +
- a06_filter_cohorts +
- a07_split_cohorts +
- a08_combine_cohorts +
- Generate a matched age and sex cohort
- Introduction
- Building base cohorts -
- Applying cohort restrictions -
- Generate a matched age and sex cohort -
- Cohort manipulations +
- a02_require_specific_cohort_entry +
- a03_require_in_date_range +
- a03_require_demographics +
- a04_require_intersections +
- a04_update_cohort_start_end +
- a05_concatanate_cohorts +
- a06_filter_cohorts +
- a07_split_cohorts +
- a08_combine_cohorts +
- Generate a matched age and sex cohort
- Introduction
- Building base cohorts -
- Applying cohort restrictions -
- Generate a matched age and sex cohort -
- Cohort manipulations +
- a02_require_specific_cohort_entry +
- a03_require_in_date_range +
- a03_require_demographics +
- a04_require_intersections +
- a04_update_cohort_start_end +
- a05_concatanate_cohorts +
- a06_filter_cohorts +
- a07_split_cohorts +
- a08_combine_cohorts +
- Generate a matched age and sex cohort
- Introduction
- Building base cohorts -
- Applying cohort restrictions -
- Generate a matched age and sex cohort -
- Cohort manipulations +
- a02_require_specific_cohort_entry +
- a03_require_in_date_range +
- a03_require_demographics +
- a04_require_intersections +
- a04_update_cohort_start_end +
- a05_concatanate_cohorts +
- a06_filter_cohorts +
- a07_split_cohorts +
- a08_combine_cohorts +
- Generate a matched age and sex cohort
- Introduction
- Building base cohorts -
- Applying cohort restrictions -
- Generate a matched age and sex cohort -
- Cohort manipulations +
- a02_require_specific_cohort_entry +
- a03_require_in_date_range +
- a03_require_demographics +
- a04_require_intersections +
- a04_update_cohort_start_end +
- a05_concatanate_cohorts +
- a06_filter_cohorts +
- a07_split_cohorts +
- a08_combine_cohorts +
- Generate a matched age and sex cohort
- Introduction
- Building base cohorts -
- Applying cohort restrictions -
- Generate a matched age and sex cohort -
- Cohort manipulations +
- a02_require_specific_cohort_entry +
- a03_require_in_date_range +
- a03_require_demographics +
- a04_require_intersections +
- a04_update_cohort_start_end +
- a05_concatanate_cohorts +
- a06_filter_cohorts +
- a07_split_cohorts +
- a08_combine_cohorts +
- Generate a matched age and sex cohort
- Introduction
- Building base cohorts -
- Applying cohort restrictions -
- Generate a matched age and sex cohort -
- Cohort manipulations +
- a02_require_specific_cohort_entry +
- a03_require_in_date_range +
- a03_require_demographics +
- a04_require_intersections +
- a04_update_cohort_start_end +
- a05_concatanate_cohorts +
- a06_filter_cohorts +
- a07_split_cohorts +
- a08_combine_cohorts +
- Generate a matched age and sex cohort
- Introduction
- Building base cohorts -
- Applying cohort restrictions -
- Generate a matched age and sex cohort -
- Cohort manipulations +
- a02_require_specific_cohort_entry +
- a03_require_in_date_range +
- a03_require_demographics +
- a04_require_intersections +
- a04_update_cohort_start_end +
- a05_concatanate_cohorts +
- a06_filter_cohorts +
- a07_split_cohorts +
- a08_combine_cohorts +
- Generate a matched age and sex cohort
- Introduction
- Building base cohorts -
- Applying cohort restrictions -
- Generate a matched age and sex cohort -
- Cohort manipulations +
- a02_require_specific_cohort_entry +
- a03_require_in_date_range +
- a03_require_demographics +
- a04_require_intersections +
- a04_update_cohort_start_end +
- a05_concatanate_cohorts +
- a06_filter_cohorts +
- a07_split_cohorts +
- a08_combine_cohorts +
- Generate a matched age and sex cohort
- Introduction
- Building base cohorts -
- Applying cohort restrictions -
- Generate a matched age and sex cohort -
- Cohort manipulations +
- a02_require_specific_cohort_entry +
- a03_require_in_date_range +
- a03_require_demographics +
- a04_require_intersections +
- a04_update_cohort_start_end +
- a05_concatanate_cohorts +
- a06_filter_cohorts +
- a07_split_cohorts +
- a08_combine_cohorts +
- Generate a matched age and sex cohort
- Introduction
- Building base cohorts -
- Applying cohort restrictions -
- Generate a matched age and sex cohort -
- Cohort manipulations +
- a02_require_specific_cohort_entry +
- a03_require_in_date_range +
- a03_require_demographics +
- a04_require_intersections +
- a04_update_cohort_start_end +
- a05_concatanate_cohorts +
- a06_filter_cohorts +
- a07_split_cohorts +
- a08_combine_cohorts +
- Generate a matched age and sex cohort
- Introduction
- Building base cohorts -
- Applying cohort restrictions -
- Generate a matched age and sex cohort -
- Cohort manipulations +
- a02_require_specific_cohort_entry +
- a03_require_in_date_range +
- a03_require_demographics +
- a04_require_intersections +
- a04_update_cohort_start_end +
- a05_concatanate_cohorts +
- a06_filter_cohorts +
- a07_split_cohorts +
- a08_combine_cohorts +
- Generate a matched age and sex cohort
- Introduction
- Building base cohorts -
- Applying cohort restrictions -
- Generate a matched age and sex cohort -
- Cohort manipulations +
- a02_require_specific_cohort_entry +
- a03_require_in_date_range +
- a03_require_demographics +
- a04_require_intersections +
- a04_update_cohort_start_end +
- a05_concatanate_cohorts +
- a06_filter_cohorts +
- a07_split_cohorts +
- a08_combine_cohorts +
- Generate a matched age and sex cohort
- Introduction
- Building base cohorts -
- Applying cohort restrictions -
- Generate a matched age and sex cohort -
- Cohort manipulations +
- a02_require_specific_cohort_entry +
- a03_require_in_date_range +
- a03_require_demographics +
- a04_require_intersections +
- a04_update_cohort_start_end +
- a05_concatanate_cohorts +
- a06_filter_cohorts +
- a07_split_cohorts +
- a08_combine_cohorts +
- Generate a matched age and sex cohort
- Introduction
- Building base cohorts -
- Applying cohort restrictions -
- Generate a matched age and sex cohort -
- Cohort manipulations +
- a02_require_specific_cohort_entry +
- a03_require_in_date_range +
- a03_require_demographics +
- a04_require_intersections +
- a04_update_cohort_start_end +
- a05_concatanate_cohorts +
- a06_filter_cohorts +
- a07_split_cohorts +
- a08_combine_cohorts +
- Generate a matched age and sex cohort
- Introduction
- Building base cohorts -
- Applying cohort restrictions -
- Generate a matched age and sex cohort -
- Cohort manipulations +
- a02_require_specific_cohort_entry +
- a03_require_in_date_range +
- a03_require_demographics +
- a04_require_intersections +
- a04_update_cohort_start_end +
- a05_concatanate_cohorts +
- a06_filter_cohorts +
- a07_split_cohorts +
- a08_combine_cohorts +
- Generate a matched age and sex cohort
Examples#> # Database: DuckDB v1.0.0 [unknown@Linux 6.5.0-1025-azure:R 4.4.1/:memory:]
#> cohort_definition_id subject_id cohort_start_date cohort_end_date
#> <int> <int> <date> <date>
-#> 1 1 6 2011-03-07 2014-01-24
-#> 2 1 7 2014-03-08 2014-03-19
-#> 3 1 13 2014-06-24 2014-06-29
-#> 4 1 13 2014-06-30 2014-08-07
-#> 5 1 17 2017-03-28 2017-04-05
-#> 6 1 22 1993-09-22 1994-04-10
-#> 7 1 22 1994-04-11 1996-04-26
-#> 8 1 22 1996-04-27 1999-08-31
-#> 9 1 31 2013-03-29 2014-02-09
-#> 10 1 60 1974-02-12 1979-10-10
+#> 1 1 1 2001-02-15 2001-10-28
+#> 2 1 1 2001-10-29 2003-03-15
+#> 3 1 1 2003-03-16 2005-02-08
+#> 4 1 34 2017-05-28 2017-07-27
+#> 5 1 34 2017-07-28 2017-08-05
+#> 6 1 34 2017-08-06 2017-10-02
+#> 7 1 42 2000-09-08 2001-02-17
+#> 8 1 42 2001-02-18 2002-07-13
+#> 9 1 42 2002-07-14 2003-12-16
+#> 10 1 43 2014-07-06 2014-07-20
#> # ℹ more rows
# }
diff --git a/reference/stratifyCohorts.html b/reference/stratifyCohorts.html
index 6d25b8d7..c9cc0d71 100644
--- a/reference/stratifyCohorts.html
+++ b/reference/stratifyCohorts.html
@@ -22,9 +22,16 @@
- Introduction
- Building base cohorts
- - Applying cohort restrictions
- - Generate a matched age and sex cohort
- - Cohort manipulations
+ - a02_require_specific_cohort_entry
+ - a03_require_in_date_range
+ - a03_require_demographics
+ - a04_require_intersections
+ - a04_update_cohort_start_end
+ - a05_concatanate_cohorts
+ - a06_filter_cohorts
+ - a07_split_cohorts
+ - a08_combine_cohorts
+ - Generate a matched age and sex cohort
- Introduction
- Building base cohorts -
- Applying cohort restrictions -
- Generate a matched age and sex cohort -
- Cohort manipulations +
- a02_require_specific_cohort_entry +
- a03_require_in_date_range +
- a03_require_demographics +
- a04_require_intersections +
- a04_update_cohort_start_end +
- a05_concatanate_cohorts +
- a06_filter_cohorts +
- a07_split_cohorts +
- a08_combine_cohorts +
- Generate a matched age and sex cohort
- Introduction
- Building base cohorts -
- Applying cohort restrictions -
- Generate a matched age and sex cohort -
- Cohort manipulations +
- a02_require_specific_cohort_entry +
- a03_require_in_date_range +
- a03_require_demographics +
- a04_require_intersections +
- a04_update_cohort_start_end +
- a05_concatanate_cohorts +
- a06_filter_cohorts +
- a07_split_cohorts +
- a08_combine_cohorts +
- Generate a matched age and sex cohort
Examples#> # Database: DuckDB v1.0.0 [unknown@Linux 6.5.0-1025-azure:R 4.4.1/:memory:]
#> cohort_definition_id subject_id cohort_start_date cohort_end_date
#> <int> <int> <date> <date>
-#> 1 1 43 2014-10-05 2015-09-27
-#> 2 1 48 1970-07-29 1974-01-28
-#> 3 1 64 1993-05-18 2001-05-18
-#> 4 1 75 1974-01-17 1974-10-19
-#> 5 1 43 2014-07-21 2014-10-04
-#> 6 1 29 2006-11-24 2008-03-21
-#> 7 1 43 2014-07-06 2014-07-20
-#> 8 1 29 2006-10-02 2006-11-23
-#> 9 1 29 2006-07-07 2006-10-01
-#> 10 1 14 1987-12-15 1988-03-19
+#> 1 1 10 2019-12-04 2019-12-14
+#> 2 1 15 1982-07-12 2000-06-12
+#> 3 1 23 2001-02-04 2004-06-17
+#> 4 1 32 1991-09-11 1998-11-05
+#> 5 1 38 1990-05-01 1994-07-14
+#> 6 1 45 2004-01-18 2007-09-06
+#> 7 1 65 2005-09-21 2007-05-16
+#> 8 1 68 2017-11-14 2017-11-21
+#> 9 1 76 1983-02-17 1985-09-01
+#> 10 1 82 2001-02-23 2003-03-17
#> # ℹ more rows
# }
diff --git a/reference/trimToDateRange.html b/reference/trimToDateRange.html
index 16e27e56..93e53e50 100644
--- a/reference/trimToDateRange.html
+++ b/reference/trimToDateRange.html
@@ -22,9 +22,16 @@
- Introduction
- Building base cohorts
- - Applying cohort restrictions
- - Generate a matched age and sex cohort
- - Cohort manipulations
+ - a02_require_specific_cohort_entry
+ - a03_require_in_date_range
+ - a03_require_demographics
+ - a04_require_intersections
+ - a04_update_cohort_start_end
+ - a05_concatanate_cohorts
+ - a06_filter_cohorts
+ - a07_split_cohorts
+ - a08_combine_cohorts
+ - Generate a matched age and sex cohort
- Introduction
- Building base cohorts -
- Applying cohort restrictions -
- Generate a matched age and sex cohort -
- Cohort manipulations +
- a02_require_specific_cohort_entry +
- a03_require_in_date_range +
- a03_require_demographics +
- a04_require_intersections +
- a04_update_cohort_start_end +
- a05_concatanate_cohorts +
- a06_filter_cohorts +
- a07_split_cohorts +
- a08_combine_cohorts +
- Generate a matched age and sex cohort
- Introduction
- Building base cohorts -
- Applying cohort restrictions -
- Generate a matched age and sex cohort -
- Cohort manipulations +
- a02_require_specific_cohort_entry +
- a03_require_in_date_range +
- a03_require_demographics +
- a04_require_intersections +
- a04_update_cohort_start_end +
- a05_concatanate_cohorts +
- a06_filter_cohorts +
- a07_split_cohorts +
- a08_combine_cohorts +
- Generate a matched age and sex cohort