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Multivariate random-effects meta-analysis

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  • Ian R. White

    (MRC Biostatistics Unit)

Abstract

Multivariate meta-analysis combines estimates of several related parameters over several studies. These parameters can, for example, refer to multiple outcomes or comparisons between more than two groups. A new Stata command, mvmeta, performs maximum likelihood, restricted maximum likelihood, or method- of-moments estimation of random-effects multivariate meta-analysis models. A utility command, mvmeta_make, facilitates the preparation of summary datasets from more detailed data. The commands are illustrated with data from the Fibrinogen Studies Collaboration, a meta-analysis of observational studies; I estimate the shape of the association between a quantitative exposure and disease events by grouping the quantitative exposure into several categories. Copyright 2009 by StataCorp LP.

Suggested Citation

  • Ian R. White, 2009. "Multivariate random-effects meta-analysis," Stata Journal, StataCorp LP, vol. 9(1), pages 40-56, March.
    • Handle: RePEc:tsj:stataj:v:9:y:2009:i:1:p:40-56
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    References listed on IDEAS

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    1. Roger M. Harbord & Julian P.T. Higgins, 2008. "Meta-regression in Stata," Stata Journal, StataCorp LP, vol. 8(4), pages 493-519, December.
    2. Vic Hasselblad, 1998. "Meta-analysis of Multitreatment Studies," Medical Decision Making, , vol. 18(1), pages 37-43, January.
    3. S. le Cessie & J. C. van Houwelingen, 1992. "Ridge Estimators in Logistic Regression," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 41(1), pages 191-201, March.
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    Cited by:

    1. Chunhu Shi & Jo C Dumville & Nicky Cullum, 2018. "Support surfaces for pressure ulcer prevention: A network meta-analysis," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-29, February.
    2. Jeffrey L Jackson & Akira Kuriyama & Yachiyo Kuwatsuka & Sarah Nickoloff & Derek Storch & Wilkins Jackson & Zhi-Jiang Zhang & Yasuaki Hayashino, 2019. "Beta-blockers for the prevention of headache in adults, a systematic review and meta-analysis," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-38, March.
    3. Xavier Armoiry & Martin Connock & Alexander Tsertsvadze & Ewen Cummins & G. J. Melendez-Torres & Pam Royle & Aileen Clarke, 2018. "Ixazomib for Relapsed or Refractory Multiple Myeloma: Review from an Evidence Review Group on a NICE Single Technology Appraisal," PharmacoEconomics, Springer, vol. 36(9), pages 1073-1081, September.
    4. Ian R. White, 2011. "Multivariate random-effects meta-regression: Updates to mvmeta," Stata Journal, StataCorp LP, vol. 11(2), pages 255-270, June.
    5. Caroline S Clarke & Rachael M Hunter & Ian Shemilt & Victoria Serra-Sastre, 2017. "Multi-arm Cost-Effectiveness Analysis (CEA) comparing different durations of adjuvant trastuzumab in early breast cancer, from the English NHS payer perspective," PLOS ONE, Public Library of Science, vol. 12(3), pages 1-19, March.
    6. Elena Kulinskaya & Stephan Morgenthaler & Robert G. Staudte, 2014. "Combining Statistical Evidence," International Statistical Review, International Statistical Institute, vol. 82(2), pages 214-242, August.
    7. James B Kirkbride & Antonia Errazuriz & Tim J Croudace & Craig Morgan & Daniel Jackson & Jane Boydell & Robin M Murray & Peter B Jones, 2012. "Incidence of Schizophrenia and Other Psychoses in England, 1950–2009: A Systematic Review and Meta-Analyses," PLOS ONE, Public Library of Science, vol. 7(3), pages 1-1, March.
    8. Evangelos Kontopantelis & David Reeves, 2010. "metaan: Random-effects meta-analysis," Stata Journal, StataCorp LP, vol. 10(3), pages 395-407, September.

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