SIMPUTE: Stata module to evaluate the effect of missing data on a published clinical trial

Adrian Mander ()

Statistical Software Components from Boston College Department of Economics

Abstract: simpute takes the complete-case results from a published trial and looks at the effects of missing data on the results. The results need to come from a two-arm parallel groups trial and the outcome should be a continuous outcome such as weight. Missing values are replaced by single values per treatment arm and the test statistic is plotted over the range of imputation values. In the first plot the imputed value is the same for both treatment arms whereas in the second plot the imputed values are allowed to differ by arm. Imputed values of 0 for both treatment arms corresponds to a baseline observation carried forward analysis. A second set of results is similar to the above but the values imputed come from a normal distribution with arm-specific means and variance fixed at the arm-specific estimates. This allows for a more realistic value of the test statistic. In the single value imputation the variance becomes smaller as the proportion of missing data increases and hence will lead to overly precise results.

Language: Stata
Requires: Stata version 12.1
Keywords: missing values; imputation; complete-case analysis (search for similar items in EconPapers)
Date: 2013-04-06
Note: This module should be installed from within Stata by typing "ssc install simpute". 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/s/simpute.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/s/simpute.sthlp help file (text/plain)

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