Meta-analysis with missing data
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.
View all articles by these authors:
Ian R. White, Julian P. T. Higgins
View all articles with these keywords:
metamiss, meta-analysis, missing data, informative missingness odds ratio
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