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A Bayesian approach for analyzing a cluster-randomized trial with adjustment for risk misclassification

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  • Ren, Dianxu
  • Stone, Roslyn A.

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  • Ren, Dianxu & Stone, Roslyn A., 2007. "A Bayesian approach for analyzing a cluster-randomized trial with adjustment for risk misclassification," Computational Statistics & Data Analysis, Elsevier, vol. 51(12), pages 5507-5518, August.
  • Handle: RePEc:eee:csdana:v:51:y:2007:i:12:p:5507-5518
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    References listed on IDEAS

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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. Philip Heidelberger & Peter D. Welch, 1983. "Simulation Run Length Control in the Presence of an Initial Transient," Operations Research, INFORMS, vol. 31(6), pages 1109-1144, December.
    3. Sophia Rabe-Hesketh & Anders Skrondal & Andrew Pickles, 2002. "Reliable estimation of generalized linear mixed models using adaptive quadrature," Stata Journal, StataCorp LP, vol. 2(1), pages 1-21, February.
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