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	Provedor de dados AgEcon (2) Autor Higgins, Julian P.T. (2) Harbord, Roger M. (1) White, Ian R. (1) Palavra-chave Meta-analysis (2) Research Methods/ Statistical Methods (2) Informative missingness odds ratio (1) Meta-regression (1) Metamiss (1) Metareg (1) Missing data (1) Multiple testing (1) Permutation test (1) Mais... Tipo do documento Article (2) Ano 2009 (1) 2008 (1) País United States (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última 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 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 Registros recuperados: 2 Primeira ... 1 ... Última

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