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Comparison of hierarchical and marginal likelihood estimators for binary outcomes

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  • Yun, Sungcheol
  • Lee, Youngjo
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    File URL: http://www.sciencedirect.com/science/article/B6V8V-48407KR-3/2/935cc8c917bf4793d23950a0a6069549
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    Bibliographic Info

    Article provided by Elsevier in its journal Computational Statistics & Data Analysis.

    Volume (Year): 45 (2004)
    Issue (Month): 3 (April)
    Pages: 639-650

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    Handle: RePEc:eee:csdana:v:45:y:2004:i:3:p:639-650

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    Web page: http://www.elsevier.com/locate/csda

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    1. J. G. Booth & J. P. Hobert, 1999. "Maximizing generalized linear mixed model likelihoods with an automated Monte Carlo EM algorithm," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 61(1), pages 265-285.
    2. Longford, N. T., 1994. "Logistic regression with random coefficients," Computational Statistics & Data Analysis, Elsevier, vol. 17(1), pages 1-15, January.
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    Cited by:
    1. Noh, Maengseok & Lee, Youngjo, 2007. "REML estimation for binary data in GLMMs," Journal of Multivariate Analysis, Elsevier, vol. 98(5), pages 896-915, May.
    2. Carling, Kenneth & Alam, Moudud, 2007. "Computationally feasible estimation of the covariance structure in Generalized linear mixed models(GLMM)," Working Papers 2007:14, Örebro University, School of Business.

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