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

Author

Listed:
  • Evangelos Kontopantelis

    (NPCRDC, University of Manchester)

  • David Reeves

    (NPCRDC, University of Manchester)

Programming Language

Stata

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.

Suggested Citation

  • Evangelos Kontopantelis & David Reeves, 2013. "IPDFOREST: Stata module to produce forest plot for individual patient data IPD meta-analysis (one stage)," Statistical Software Components S457616, Boston College Department of Economics, revised 14 Sep 2019.
    • Handle: RePEc:boc:bocode:s457616
    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.
    as

    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/bocode/i/ipdforest.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/i/ipdforest.sthlp
    File Function: help file
    Download Restriction: no
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