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

Fisher, DJ; (2015) Two-stage individual participant data meta-analysis and generalized forest plots. Stata Journal , 15 (2) pp. 369-396. Green open access

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Abstract

This article describes a command, ipdmetan, which facilitates twostage individual participant data (ipd) meta-analysis of any measure of effect and its standard error by fitting a specified model to the data from each study in turn. Random-effects and heterogeneity statistics may be estimated, and additional covariates and interactions included. If ipd is available for certain studies and aggregate data for others, ipdmetan allows them to be combined in a single analysis. Detailed, flexible forest plots may be produced, including outside the context of formal meta-analysis.

Type: Article
Title: Two-stage individual participant data meta-analysis and generalized forest plots
Open access status: An open access version is available from UCL Discovery
Publisher version: http://www.stata-journal.com/article.html?article=...
Language: English
Additional information: This version is the version of record kindly provided by the Stata journal - http://www.stata-journal.com. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: st0384, ipdmetan, forestplot, admetan, ipdover, meta-analysis, forest plot, individual participant data, survival, two-stage, time-to-event, prefix command, subgroup
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Inst of Clinical Trials and Methodology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Inst of Clinical Trials and Methodology > MRC Clinical Trials Unit at UCL
URI: https://discovery.ucl.ac.uk/id/eprint/1511400
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