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Multivariate random-effects meta-regression: Updates to mvmeta

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Author Info

  • Ian R. White

    ()
    (MRC Biostatistics Unit)

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    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.

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    Bibliographic Info

    Article provided by StataCorp LP in its journal Stata Journal.

    Volume (Year): 11 (2011)
    Issue (Month): 2 (June)
    Pages: 255-270

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    Handle: RePEc:tsj:stataj:v:11:y:2011:i:2:p:255-270

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    Related research

    Keywords: mvmeta; meta-analysis; meta-regression; I-squared;

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    Cited by:
    1. T.D. Stanley & Hristos Doucouliagos, 2013. "Better than Random: Weighted Least Squares Meta-Regression Analysis," Economics Series 2013_2, Deakin University, Faculty of Business and Law, School of Accounting, Economics and Finance.

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