RCTMISS: Stata module to analyse a randomised controlled trial (RCT) allowing for informatively missing outcome data

Ian White

Statistical Software Components from Boston College Department of Economics

Abstract: rctmiss analyses a randomised controlled trial with missing outcome data under a range of assumptions about the missing data. The data and missingness are modelled jointly using either a pattern-mixture model (modelling the differences between missing and observed data) or a selection model (modelling the missing data mechanism). Assumptions about the missing data are expressed via a sensitivity parameter delta which measures the degree of departure from missing at random. Results can be obtained for a single assumption (a single value of delta, possibly varying between individuals), or graphed over a range of assumptions (a range of values of delta).

Language: Stata
Requires: Stata version 10
Keywords: randomized control trial; RCT; missing data; missing at random (search for similar items in EconPapers)
Date: 2017-02-12, Revised 2018-12-26
Note: This module should be installed from within Stata by typing "ssc install rctmiss". 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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Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/r/rctmiss.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/r/rctmiss.do do-file (text/plain)
http://fmwww.bc.edu/repec/bocode/r/rctmiss_smlik.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/r/rctmiss.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/u/UK500.dta sample data file (application/x-stata)
http://fmwww.bc.edu/repec/bocode/s/smoke.dta sample data file (application/x-stata)

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