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

David J. Fisher ()
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David J. Fisher: MRC Clinical Trials Unit at University College London

Stata Journal, 2015, vol. 15, issue 2, 369-396

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.

Keywords: ipdmetan; forestplot; admetan; ipdover; meta-analysis; forest plot; individual participant data; survival; two-stage; time-to-event; prefix command; subgroup (search for similar items in EconPapers)
Date: 2015
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