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HETEROGI: Stata module to quantify heterogeneity in a meta-analysis

Author

Listed:
  • Nicola Orsini

    (Karolinska Institutet)

  • Matteo Bottai

    (Dep. Epidemiology and Biostatistics, University of South Carolina)

  • Julian Higgins

    (MRC Biostatistics Unit, Cambridge, UK)

  • Iain Buchan

    (Northwest Institute for Bio-Health Informatics, University of Manchester, UK)

Programming Language

Stata

Abstract

heterogi is an immediate command that provides the statistics H and I^2 to quantify heterogeneity in a meta-analysis.

Suggested Citation

  • Nicola Orsini & Matteo Bottai & Julian Higgins & Iain Buchan, 2005. "HETEROGI: Stata module to quantify heterogeneity in a meta-analysis," Statistical Software Components S449201, Boston College Department of Economics, revised 25 Jan 2006.
    • Handle: RePEc:boc:bocode:s449201
    Note: This module should be installed from within Stata by typing "ssc install heterogi". 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/h/heterogi.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/h/heterogi.hlp
    File Function: help file
    Download Restriction: no
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    Citations

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    Cited by:

    1. Heleen Riper & Matthijs Blankers & Hana Hadiwijaya & John Cunningham & Stella Clarke & Reinout Wiers & David Ebert & Pim Cuijpers, 2014. "Effectiveness of Guided and Unguided Low-Intensity Internet Interventions for Adult Alcohol Misuse: A Meta-Analysis," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-11, June.
    2. Lauren Maxwell & Karen Devries & Danielle Zionts & Jeanne L Alhusen & Jacquelyn Campbell, 2015. "Estimating the Effect of Intimate Partner Violence on Women’s Use of Contraception: A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 10(2), pages 1-25, February.
    3. Ioana A Cristea & Robin N Kok & Pim Cuijpers, 2016. "The Effectiveness of Cognitive Bias Modification Interventions for Substance Addictions: A Meta-Analysis," PLOS ONE, Public Library of Science, vol. 11(9), pages 1-19, September.

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