-
Notifications
You must be signed in to change notification settings - Fork 9
/
mrrobust.sthlp
87 lines (61 loc) · 3.35 KB
/
mrrobust.sthlp
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
{smcl}
{* *! version 0.1.0 Tom Palmer 05jun2017}{...}
{vieweralsosee "mr" "help mr"}{...}
{vieweralsosee "mrdeps" "mrdeps"}{...}
{vieweralsosee "mregger" "mregger"}{...}
{vieweralsosee "mreggersimex" "mreggersimex"}{...}
{vieweralsosee "mreggerplot" "mreggerplot"}{...}
{vieweralsosee "mrmedian" "mrmedian"}{...}
{vieweralsosee "mrmedianobs" "mrmedianobs"}{...}
{vieweralsosee "mrmodal" "mrmodal"}{...}
{vieweralsosee "mrmodalplot" "mrmodalplot"}{...}
{vieweralsosee "mrratio" "mrratio"}{...}
{vieweralsosee "mrivests" "mrivests"}{...}
{vieweralsosee "mrforest" "mrforest"}{...}
{vieweralsosee "mrfunnel" "mrfunnel"}{...}
{vieweralsosee "mrmvivw" "help mrmvivw"}{...}
{vieweralsosee "mrmvegger" "help mrmvegger"}{...}
{vieweralsosee "mrleaveoneout" "help mrleaveoneout"}{...}
{viewerjumpto "Commands" "mrrobust##commands"}{...}
{viewerjumpto "Description" "mrrobust##description"}{...}
{viewerjumpto "Author" "mrrobust##author"}{...}
{title:Title}
{phang}
{bf:mrrobust} {hline 2} commands for two-sample Mendelian randomization (MR) analyses.
{phang}
{browse "https://remlapmot.github.io/mrrobust/"}{p_end}
{title:Commands}{marker commands}
{synoptset 14 tabbed}{...}
{synopt :{opt {help mr}:}}Primary command syntax, i.e. use {cmd:mr egger ...} syntax instead of {cmd:mregger ...}
{synopt :{opt {help mrdeps}:}}Install dependencies for the package
{synopt :{opt {help mregger}:}}MR-Egger and inverse-variance weighted (IVW) estimators
{synopt :{opt {help mreggersimex}:}}Simulation extrapolation algorithm for the MR-Egger model
{synopt :{opt {help mreggerplot}:}}Scatter plot showing instrument specific estimates with IVW, MR-Egger, or median fitted line and confidence interval
{synopt :{opt {help mrmedian}:}}Unweighted, weighted, and penalized weighted median estimators for summary level data
{synopt :{opt {help mrmedianobs}:}}Unweighted, weighted, and penalized weighted median estimators for individual level data
{synopt :{opt {help mrmodal}:}}Modal estimator for summary level data
{synopt :{opt {help mrmodalplot}:}}Plot of density used in the modal estimator
{synopt :{opt {help mrratio}:}}Ratio (Wald) estimator for summary level data for a single genotype
{synopt :{opt {help mrivests}:}}Generate ratio (Wald) estimates for summary level data in dataset
{synopt :{opt {help mrforest}:}}Forest plot of genotype specific and model (IVW, MR-Egger, Median, Modal) IV estimates
{synopt :{opt {help mrfunnel}:}}Funnel plot of the genotype specific IV estimates
{synopt :{opt {help mrmvivw}:}}Multivariable inverse variance weighted estimator (also {help mvivw} and {help mvmr})
{synopt :{opt {help mrmvegger}:}}Multivariable MR-Egger regression
{synopt :{opt {help mrleaveoneout}:}}Leave one out analysis
{marker description}{...}
{title:Description}
{pstd}
{cmd:mrrobust} is a suite of programs implementing recently developed
estimators which are robust to certain proportions of invalid instrumental
variables.
{pstd}
Most of the commands are designed to use summary level data as provided by
repositories such as {browse "https://www.mrbase.org":MR-Base}.
{pstd}
The estimators were developed in the context of MR studies but
could be used for other applications of instrumental variables.
{pstd}
There is a website showing the examples from the helpfiles here: {browse "https://remlapmot.github.io/mrrobust/"}{p_end}
{marker author}{...}
{title:Author}
INCLUDE help mrrobust-author