AEFDR: Stata module to perform false discovery rate p-value adjustment for adverse event data

Rachel Phillips () and Suzie Cro
Additional contact information
Rachel Phillips: Imperial College
Suzie Cro: Imperial College

Statistical Software Components from Boston College Department of Economics

Abstract: aefdr performs a false discovery rate (FDR) p-value adjustment for adverse event data where events are nested within bodysystems from a two-arm clinical trial as proposed by Mehrotra and Adewale (Stat. in Med., 2012). The FDR procedure is a two-step approach that utilises the structure of adverse event data to adjust p-values to reduce the false discovery rate.

Language: Stata
Requires: Stata version 15
Keywords: false discovery rate; p-values; clinical trial (search for similar items in EconPapers)
Date: 2020-02-15, Revised 2020-02-22
Note: This module should be installed from within Stata by typing "ssc install aefdr". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
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http://fmwww.bc.edu/repec/bocode/a/aefdr.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/a/aefdr.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/e/example_aefdr.dta sample data file (application/x-stata)

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