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Meta-analysis with missing data

By Ian R. White and Julian P. T. Higgins

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.metamiss, meta-analysis, missing data, informative missingness odds ratio

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