A Bayesian fixed effects analysis of the Mantel-Haenszel model applied to meta-analysis

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Authors

Abstract

When performing a meta analysis, it is often necessary to combine results from several 2 x 2 contingency tables. The Mantel-Haenszel model assumes a common measure of association between the treatment and outcome variables across the tables. A Bayesian method is described for drawing inferences regarding the measure of association, for checking the plausibility of the Mantel-Haenszel model, and for drawing inferences regarding the success rates for the individual studies. While the methodology is readily extendable to random effects models, a fixed effects approach avoids the complex statistical modelling of a mixture distribution which is required for the good application of random effects models.

Details

Original languageEnglish
Pages (from-to)2295-2312
Number of pages18
JournalStatistics in Medicine
Volume21
Issue number16
Early online date1 Jan 2002
Publication statusPublished - 30 Aug 2002