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Fitting fixed- and random-effects meta-analysis models using structural equation modeling with the sem and gsem commands

Author

Listed:
  • Tom M. Palmer

    (Lancaster University)

  • Jonathan A. C. Sterne

    (University of Bristol)

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 metaregression and multivariate meta-analysis is readily available from this output. Copyright 2015 by StataCorp LP.

Suggested Citation

  • Tom M. Palmer & Jonathan A. C. Sterne, 2015. "Fitting fixed- and random-effects meta-analysis models using structural equation modeling with the sem and gsem commands," Stata Journal, StataCorp LP, vol. 15(3), pages 645-671, September.
    • Handle: RePEc:tsj:stataj:v:15:y:2015:i:3:p:645-671
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