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Multivariate random-effects meta-regression: Updates to mvmeta

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  • Ian R. White

    (MRC Biostatistics Unit)

Abstract

An extension of mvmeta, my program for multivariate random-effects meta-analysis, is described. The extension handles meta-regression. Estima- tion methods available are restricted maximum likelihood, maximum likelihood, method of moments, and fixed effects. The program also allows a wider range of models (Riley’s overall correlation model and structured between-studies covari- ance); better estimation (using Mata for speed and correctly allowing for missing data); and new postestimation facilities (I-squared, standard errors and confidence intervals for between-studies standard deviations and correlations, and identifi- cation of the best intervention). The program is illustrated using a multiple- treatments meta-analysis. Copyright 2011 by StataCorp LP.

Suggested Citation

  • Ian R. White, 2011. "Multivariate random-effects meta-regression: Updates to mvmeta," Stata Journal, StataCorp LLC, vol. 11(2), pages 255-270, June.
    • Handle: RePEc:tsj:stataj:v:11:y:2011:i:2:p:255-270
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    References listed on IDEAS

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    1. Ian R. White, 2009. "Multivariate random-effects meta-analysis," Stata Journal, StataCorp LLC, vol. 9(1), pages 40-56, March.
    2. Julian P. T. Higgins & Simon G. Thompson & David J. Spiegelhalter, 2009. "A re‐evaluation of random‐effects meta‐analysis," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 172(1), pages 137-159, January.
    3. Richard D. Riley, 2009. "Multivariate meta‐analysis: the effect of ignoring within‐study correlation," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 172(4), pages 789-811, October.
    4. Roger M. Harbord & Penny Whiting, 2009. "metandi: Meta-analysis of diagnostic accuracy using hierarchical logistic regression," Stata Journal, StataCorp LLC, vol. 9(2), pages 211-229, June.
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    1. Navkaranbir S Bajaj & Rajat Kalra & Nirav Patel & Taimoor Hashim & Hemant Godara & Sameer Ather & Garima Arora & Tilak Pasala & Thomas T Whitfield & David C McGiffin & Mustafa I Ahmed & Steven G Lloyd, 2016. "Comparison of Approaches for Stroke Prophylaxis in Patients with Non-Valvular Atrial Fibrillation: Network Meta-Analyses of Randomized Controlled Trials," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-14, October.
    2. repec:plo:pone00:0031660 is not listed on IDEAS
    3. Stanley, T. D. & Doucouliagos, Hristos, 2013. "Better than random: weighted least squares meta-regression analysis," Working Papers eco_2013_2, Deakin University, Department of Economics.
    4. Bodnar, Olha & Bodnar, Taras, 2024. "Gibbs sampler approach for objective Bayesian inference in elliptical multivariate meta-analysis random effects model," Computational Statistics & Data Analysis, Elsevier, vol. 197(C).
    5. Sofia Dias & Alex J. Sutton & Nicky J. Welton & A. E. Ades, 2013. "Evidence Synthesis for Decision Making 6," Medical Decision Making, , vol. 33(5), pages 671-678, July.
    6. Peter J Godolphin & David J Fisher & Lindsay R Berry & Lennie P G Derde & Janet V Diaz & Anthony C Gordon & Elizabeth Lorenzi & John C Marshall & Srinivas Murthy & Manu Shankar-Hari & Jonathan A C Ste, 2022. "Association between tocilizumab, sarilumab and all-cause mortality at 28 days in hospitalised patients with COVID-19: A network meta-analysis," PLOS ONE, Public Library of Science, vol. 17(7), pages 1-13, July.
    7. Anna Chaimani & Julian P T Higgins & Dimitris Mavridis & Panagiota Spyridonos & Georgia Salanti, 2013. "Graphical Tools for Network Meta-Analysis in STATA," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-12, October.

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