Multivariate random-effects meta-regression: Updates to mvmeta
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.
Volume (Year): 11 (2011)
Issue (Month): 2 (June)
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References listed on IDEAS
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- 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.
- 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.
- 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.
- Ian R. White, 2009. "Multivariate random-effects meta-analysis," Stata Journal, StataCorp LP, vol. 9(1), pages 40-56, March.
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