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