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PubMed · 8672702

Meta-analysis of published data using a linear mixed-effects model.

D O Stram
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Abstract

This paper describes the use of a linear mixed-effects regression model as a framework for the meta-analysis of published data. It generalizes the random-effects models used by DerSimonian and Laird (1986, Controlled Clinical Trials 7, 177-188) and Begg and Pilote (1991, Biometrics 47, 899-906), and describes the use of the model using examples from these papers and the data given by Tori et al.

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BiometryClinical Trials as TopicData Interpretation, StatisticalHumansLinear ModelsMeta-Analysis as TopicJournal ArticleResearch Support, U.S. Gov't, P.H.S.

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D O Stram. 1996. Meta-analysis of published data using a linear mixed-effects model.. https://pubmed.ncbi.nlm.nih.gov/8672702/

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