Fitting fixed- and random-effects meta-analysis models using structural equation modeling with the sem and gsem commands
Tom M. Palmer
Department of Mathematics and Statistics
Lancaster University
Lancaster, UK
[email protected]
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Jonathan A. C. Sterne
School of Social and Community Medicine
University of Bristol
Bristol, UK
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Abstract. In this article, we demonstrate how to fit fixed- and random-effects
meta-analysis, meta-regression, and multivariate outcome meta-analysis
models under the structural equation modeling framework using the
sem and gsem commands. While all of these models can be fit
using existing user-written commands, formulating the
models in the structural equation modeling framework provides deeper
insight into how they work. Further, the heterogeneity test for
meta-regression and multivariate meta-analysis is readily available from
this output.
View all articles by these authors:
Tom M. Palmer, Jonathan A. C. Sterne
View all articles with these keywords:
gsem, meta-analysis, meta-regression, metan, metareg, mvmeta, sem, structural equation modeling
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