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The Stata Journal
Volume 9 Number 1: pp. 57-69



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Meta-analysis with missing data

Ian R. White
MRC Biostatistics Unit
Cambridge, UK
ian.white@mrc-bsu.cam.ac.uk
Julian P. T. Higgins
MRC Biostatistics Unit
Cambridge, UK
julian.higgins@mrc-bsu.cam.ac.uk
Abstract.   A new command, metamiss, performs meta-analysis with binary outcomes when some or all studies have missing data. Missing values can be imputed as successes, as failures, according to observed event rates, or by a combination of these according to reported reasons for the data being missing. Alternatively, the user can specify the value of, or a prior distribution for, the informative missingness odds ratio.
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