Meta-analysis with missing data

Ian R. White () and Julian P. T. Higgins ()
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Ian R. White: MRC Biostatistics Unit
Julian P. T. Higgins: MRC Biostatistics Unit

Stata Journal, 2009, vol. 9, issue 1, pages 57-69

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. Copyright 2009 by StataCorp LP.

Keywords: metamiss; meta-analysis; missing data; informative missingness odds ratio (search for similar items in EconPapers)
Date: 2009

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