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A Method of Moments Estimator for Random Effect Multivariate Meta-Analysis

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  • Han Chen
  • Alisa K. Manning
  • Josée Dupuis

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  • Han Chen & Alisa K. Manning & Josée Dupuis, 2012. "A Method of Moments Estimator for Random Effect Multivariate Meta-Analysis," Biometrics, The International Biometric Society, vol. 68(4), pages 1278-1284, December.
    • Handle: RePEc:bla:biomet:v:68:y:2012:i:4:p:1278-1284
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2012.01761.x
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    References listed on IDEAS

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    1. Dean A. Follmann & Michael A. Proschan, 1999. "Valid Inference in Random Effects Meta-Analysis," Biometrics, The International Biometric Society, vol. 55(3), pages 732-737, September.
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    2. 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.
    3. Shi, Chengchun & Song, Rui & Lu, Wenbin & Fu, Bo, 2018. "Maximin projection learning for optimal treatment decision with heterogeneous individualized treatment effects," LSE Research Online Documents on Economics 102112, London School of Economics and Political Science, LSE Library.
    4. Dan Jackson & Sylwia Bujkiewicz & Martin Law & Richard D. Riley & Ian R. White, 2018. "A matrix†based method of moments for fitting multivariate network meta†analysis models with multiple outcomes and random inconsistency effects," Biometrics, The International Biometric Society, vol. 74(2), pages 548-556, June.
    5. John B. Copas & Dan Jackson & Ian R. White & Richard D. Riley, 2018. "The role of secondary outcomes in multivariate meta‐analysis," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 67(5), pages 1177-1205, November.
    6. Elena Kulinskaya & Stephan Morgenthaler & Robert G. Staudte, 2014. "Combining Statistical Evidence," International Statistical Review, International Statistical Institute, vol. 82(2), pages 214-242, August.
    7. Ito, Tsubasa & Sugasawa, Shonosuke, 2021. "Improved confidence regions in meta-analysis of diagnostic test accuracy," Computational Statistics & Data Analysis, Elsevier, vol. 153(C).
    8. Rebecca Graziani & Sergio Venturini, 2020. "A Bayesian approach to discrete multiple outcome network meta-analysis," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-17, April.

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