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The Stata Journal
Volume 15 Number 2: pp. 369-396

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Two-stage individual participant data meta-analysis and generalized forest plots

David J. Fisher
MRC Clinical Trials Unit at University College London
London, UK
[email protected]
Abstract.  In this article, I describe a command, ipdmetan, that facilitates twostage individual participant data meta-analysis of any measure of effect and its standard error by fitting a specified model to data from each study. The command can estimate random effects and heterogeneity statistics and include additional covariates and interactions. If individual participant data are available for certain studies and aggregate data for others, ipdmetan allows them to be combined in one analysis. This command can produce detailed and flexible forest plots, including ones outside the context of formal meta-analysis.
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View all articles with these keywords: ipdmetan, forestplot, admetan, ipdover, meta-analysis, forest plot, individual participant data, survival, two-stage, time-to-event, prefix command, subgroup

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