MIMIX: Stata module to perform reference based multiple imputation for sensitivity analysis of longitudinal clinical trials with protocol deviation

Suzie Cro ()
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Suzie Cro: Imperial College

Statistical Software Components from Boston College Department of Economics

Abstract: mimix imputes missing numerical outcomes for a longitudinal trial with protocol deviation under distinct reference group (typically treatment arm) based assumptions for the unobserved data, following the general algorithm of Carpenter, Roger and Kenward (Journal of Biopharmaceutical Statistics, 2013). The imputation methods, that each correspond to an underlying accessible assumption for the missing data include randomised-arm missing at random, jump to reference, last mean carried forward, copy increments in reference and copy reference. Optionally, a linear regression of the outcome at the final time point on treatment and baseline, or a saturated repeated measures model can also be fitted to each imputed data set, and the results summarised using Rubin's rules to directly estimate the treatment effect. For reference based sensitivity analysis of longitudinal continuous clinical trials.

Language: Stata
Requires: Stata version 13
Keywords: clinical trials; multiple imputation; sensitivity (search for similar items in EconPapers)
Date: 2015-03-21, Revised 2021-02-24
Note: This module should be installed from within Stata by typing "ssc install mimix". 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/m/mimix.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/m/mimix.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/a/asthma.dta sample data file (application/x-stata)

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