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Meta-analysis with missing data

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Author Info
Ian R. White () (MRC Biostatistics Unit)
Julian P. T. Higgins () (MRC Biostatistics Unit)
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.

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Publisher Info
Article provided by StataCorp LP in its journal Stata Journal.

Volume (Year): 9 (2009)
Issue (Month): 1 (March)
Pages: 57-69
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Handle: RePEc:tsj:stataj:v:9:y:2009:i:1:p:57-69

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Related research
Keywords: metamiss; meta-analysis; missing data; informative missingness odds ratio;

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This page was last updated on 2009-10-27.

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