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Data Guidelines
AE Timelines are initialized using JSON data files that match the format created by d3.csv(). The chart requires a data set with one record per adverse event with placeholder rows added for participants who didn't experience any adverse events over the course of the study. The chart uses column names from the AdAM data standard by default, but can be customized to work with any column names as long as the data structure is as expected.
The following columns are expected in a data file used to create an instance of AE Timelines. A sample chart using this configuration is found here.
Settings Variable | Description | Default | Required? |
---|---|---|---|
id_col | Unique Subject Identifier | USUBJID | Y |
seq_col | Sequence Number | AESEQ | Y |
stdy_col | Analysis Start Relative Day | ASTDY | Y |
endy_col | Analysis End Relative Day | AENDY | Y |
term_col | Reported Term | AETERM | Y |
color.value_col | Severity/Intensity | AESEV | Y * |
highlight.value_col | Serious Event | AESER | |
* a coloring variable of some sort is required but it does not have to be AESEV |
No customization is needed to initialize a chart when the data
object contains all default variables above.
Just pass an empty object ({}
) for settings
and initialize the chart like so: aeTimelines('body', {}).init(data)
.
The following data specs and chart settings can be used to create a chart with several custom filters, including Sex, Race and Query Status. The chart also highlights severe AEs and events under query. A sample chart using this configuration is found here.
Settings Variable | Description | Default | Required? |
---|---|---|---|
id_col | Unique Subject Identifier | USUBJID | Y |
seq_col | Sequence Number | AESEQ | Y |
stdy_col | Analysis Start Relative Day | ASTDY | Y |
endy_col | Analysis End Relative Day | AENDY | Y |
term_col | Reported Term | AETERM | Y |
color.value_col | Severity/Intensity | AESEV | Y * |
highlight.value_col | Serious Event | AESER | |
filter | AE Seriousness | AESER | Y |
filter | AE Severity | AESEV | Y |
filter | AE Relationship | AEREL | Y |
filter | AE Outcome | AEOUT | Y |
filter | Site ID | SITEID | Y |
filter | Treatment Arm | ARM | Y |
filter | Sex | SEX | Y |
filter | Race | RACE | Y |
filter | Query Flag ("Y" for yes) | QUERYFL | Y |
* a coloring variable of some sort is required but it does not have to be AESEV |
var settings =
{color:
{value_col: 'AEREL'
,label: 'Relationship'
,values:
['NOT RELATED'
,'UNLIKELY RELATED'
,'POSSIBLY RELATED'
,'PROBABLY RELATED'
,'DEFINITELY RELATED']}
,highlight:
{value_col: 'QUERYFL'
,label: 'Open Query'
,value: 'Y'
,detail_col: 'QUERY'
,attributes:
{'stroke': 'black'
,'stroke-width': '8'
,'fill': 'none'
,'stroke-opacity':"0.2"}}
,custom_marks:
[
{type: 'circle'
,per: ['USUBJID', 'AESEQ', 'wc_value']
,tooltip: 'Serious Adverse Event'
,radius: 6
,attributes:
{'fill-opacity': .5
,'fill': 'None'
,'stroke': 'Red'}
,values: {"AESER": ['Y'] ,"wc_category":["ASTDY"]}}
]
,filters:
[ {value_col: 'AESER', label: 'Serious Event'}
, {value_col: 'AEREL', label: 'Relationship'}
, {value_col: 'AESEV', label: 'Severity/Intensity'}
, {value_col: 'USUBJID', label: 'Subject Identifier'}
, {value_col: 'ARM', label: 'Arm'}
, {value_col: 'SITEID', label: 'Site ID'}
, {value_col: 'SEX', label: 'Sex'}
, {value_col: 'RACE', label: 'Race'}
, {value_col: 'QUERYFL', label: 'Has query?'}
]};