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Multivariate random-effects meta-regression: Updates to mvmeta


  • Ian R. White

    () (MRC Biostatistics Unit)


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 LP, 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

    1. 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.
    2. Roger M. Harbord & Penny Whiting, 2009. "metandi: Meta-analysis of diagnostic accuracy using hierarchical logistic regression," Stata Journal, StataCorp LP, vol. 9(2), pages 211-229, June.
    3. Ian R. White, 2009. "Multivariate random-effects meta-analysis," Stata Journal, StataCorp LP, vol. 9(1), pages 40-56, March.
    4. 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.
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    mvmeta; meta-analysis; meta-regression; I-squared;


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