IPDFOREST: Stata module to produce forest plot for individual patient data IPD meta-analysis (one stage)

Evangelos Kontopantelis () and David Reeves
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Evangelos Kontopantelis: NPCRDC, University of Manchester
David Reeves: NPCRDC, University of Manchester

Statistical Software Components from Boston College Department of Economics

Abstract: ipdforest is a post-estimation command which uses the saved estimates of an xtmixed or xtmelogit command for multi-level linear or logistic regression respectively. It will only work following one of these estimation commands (as stand-alone or as part of a bootstrap or mi estimate command) and will automatically identify the model and the outcome and cluster variables (both numerical). Only two-level data structures are allowed (patients nested within studies). The command requires one variable name as input, the exposure grouping variable, and executes a regression analysis for each study to obtain the study effects. Binary or continuous exposure variables are allowed and if exposure is categorical users should create dummy variables and focus on the comparison of interest through one of those, under ipdforest.

Language: Stata
Requires: Stata version 11.2
Keywords: meta-analysis; forest plot; xtmixed; xtmelogit; multi-level modeling (search for similar items in EconPapers)
Date: 2013-03-17, Revised 2019-09-14
Note: This module should be installed from within Stata by typing "ssc install ipdforest". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
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http://fmwww.bc.edu/repec/bocode/i/ipdforest.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/i/ipdforest.sthlp help file (text/plain)

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