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Meta-analysis with missing data AgEcon
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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Meta–regression in Stata AgEcon
Harbord, Roger M.; Higgins, Julian P.T..
We present a revised version of the metareg command, which performs meta-analysis regression (meta-regression) on study-level summary data. The major revisions involve improvements to the estimation methods and the addition of an option to use a permutation test to estimate p-values, including an adjustment for multiple testing. We have also made additions to the output, added an option to produce a graph, and included support for the predict command. Stata 8.0 or above is required.
Tipo: Article Palavras-chave: Metareg; Meta-regression; Meta-analysis; Permutation test; Multiple testing; Research Methods/ Statistical Methods.
Ano: 2008 URL: http://purl.umn.edu/122617
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