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IPDMETAN: Stata module for performing two-stage IPD meta-analysis

David Fisher ()
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David Fisher: MRC Clinical Trials Unit at UCL

Statistical Software Components from Boston College Department of Economics

Abstract: A set of routines for conducting two-stage individual participant meta-analysis, aggregate (summary) data meta-analysis, and for creating high-quality forest plots. The two-stage routine, ipdmetan, loops over a series of categories, fits the desired model to the data within each, and generates pooled effects, heterogeneity statistics etc, as appropriate; aggregate data may also be included from an external dataset. The aggregate-data routine, admetan, carries over much of the functionality of the existing SSC command metan, but with a wider range of random-effects and variance-correction models. There is also an “immediate” version, admetani. The routine forestplot is a stand-alone, re-written and extended version of the graphics routine within the existing SSC command metan. ipdover allows ipdmetan to be used outside of the meta-analytic context, for example for creating a forestplot of a series of (potentially overlapping) subgroups within a single study.

Language: Stata
Requires: Stata version 11
Keywords: meta-analysis; forest plot; binary data; time-to-event data (search for similar items in EconPapers)
Date: 2014-02-02, Revised 2019-02-04
Note: This module should be installed from within Stata by typing "ssc install ipdmetan". Windows users should not attempt to download these files with a web browser.
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