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]
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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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David J. Fisher
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ipdmetan, forestplot, admetan, ipdover, meta-analysis, forest plot, individual participant data, survival, two-stage, time-to-event, prefix command, subgroup
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