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White, Ian R.; Higgins, Julian P.T.. |
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. |
Tipo: Article |
Palavras-chave: Metamiss; Meta-analysis; Missing data; Informative missingness odds ratio; Research Methods/ Statistical Methods. |
Ano: 2009 |
URL: http://purl.umn.edu/122700 |
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