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. 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.


Issue Date:
2011
Publication Type:
Journal Article
DOI and Other Identifiers:
st0156_1 (Other)
PURL Identifier:
http://purl.umn.edu/180080
Published in:
Stata Journal, Volume 11, Number 2
Page range:
255-270
Total Pages:
16

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 Record created 2017-04-01, last modified 2017-04-28

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