Multivariate random-effects meta-regression: Updates to mvmeta
Abstract. An extension of mvmeta, my program for multivariate random-effects
meta-analysis, is described. The extension handles meta-regression. Estimation
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 covariance);
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 identification
of the best intervention). The program is illustrated using a multipletreatments
meta-analysis.
View all articles by this author:
Ian R. White
View all articles with these keywords:
mvmeta, meta-analysis, meta-regression, I-squared
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