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Estimating heterogeneity variance in meta-analysis

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  • Andrew L. Rukhin

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  • Andrew L. Rukhin, 2013. "Estimating heterogeneity variance in meta-analysis," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 75(3), pages 451-469, June.
    • Handle: RePEc:bla:jorssb:v:75:y:2013:i:3:p:451-469
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    File URL: http://hdl.handle.net/10.1111/j.1467-9868.2012.01047.x
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    References listed on IDEAS

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    1. Rukhin, Andrew L. & Possolo, Antonio, 2011. "Laplace random effects models for interlaboratory studies," Computational Statistics & Data Analysis, Elsevier, vol. 55(4), pages 1815-1827, April.
    2. Lynn Friedman, 2000. "Estimators of Random Effects Variance Components in Meta-Analysis," Journal of Educational and Behavioral Statistics, , vol. 25(1), pages 1-12, March.
    3. Wolfgang Viechtbauer, 2005. "Bias and Efficiency of Meta-Analytic Variance Estimators in the Random-Effects Model," Journal of Educational and Behavioral Statistics, , vol. 30(3), pages 261-293, September.
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    Cited by:

    1. Bodnar, Olha & Bodnar, Taras, 2021. "Objective Bayesian meta-analysis based on generalized multivariate random effects model," Working Papers 2021:5, Örebro University, School of Business.
    2. Elena Kulinskaya & Stephan Morgenthaler & Robert G. Staudte, 2014. "Combining Statistical Evidence," International Statistical Review, International Statistical Institute, vol. 82(2), pages 214-242, August.
    3. Bodnar, Olha & Bodnar, Taras, 2024. "Gibbs sampler approach for objective Bayesian inference in elliptical multivariate meta-analysis random effects model," Computational Statistics & Data Analysis, Elsevier, vol. 197(C).
    4. Bodnar, Olha & Eriksson, Viktor, 2021. "Bayesian model selection: Application to adjustment of fundamental physical constants," Working Papers 2021:7, Örebro University, School of Business.

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