Two-stage Individual Participant Data Meta-analysis and Generalized Forest Plots
- 1 June 2015
- journal article
- review article
- Published by SAGE Publications in The Stata Journal: Promoting communications on statistics and Stata
- Vol. 15 (2), 369-396
- https://doi.org/10.1177/1536867x1501500203
Abstract
In this article, I describe a command, ipdmetan, that facilitates two-stage 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
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