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A short guide and a forest plot command (ipdforest) for one-stage meta-analysis

Author

Listed:
  • Evangelos Kontopantelis

    (University of Manchester)

  • David Reeves

    (University of Manchester)

Abstract

In this article, we describe a new individual patient data meta-analysis postestimation command, ipdforest. The command produces a forest plot following a one-stage meta-analysis with xtmixed or xtmelogit. (These commands have been renamed in Stata 13 to mixed and meqrlogit, respectively; ipdforest is currently not compatible with the new names.) The overall effect is obtained from the preceding mixed-effects regression and the study effects from linear or logistic regressions on each study, which are executed within ipdforest. Individual patient data meta-analysis models with Stata are discussed. Copyright 2013 by StataCorp LP.

Suggested Citation

  • Evangelos Kontopantelis & David Reeves, 2013. "A short guide and a forest plot command (ipdforest) for one-stage meta-analysis," Stata Journal, StataCorp LP, vol. 13(3), pages 574-587, September.
    • Handle: RePEc:tsj:stataj:v:13:y:2013:i:3:p:574-587
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    Cited by:

    1. Kontopantelis, Evangelos & Springate, David A & Parisi, Rosa & Reeves, David, 2016. "Simulation-Based Power Calculations for Mixed Effects Modeling: ipdpower in Stata," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 74(i12).

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