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Generalized linear mixed models with informative dropouts and missing covariates

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  • Kunling Wu
  • Lang Wu

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  • Kunling Wu & Lang Wu, 2007. "Generalized linear mixed models with informative dropouts and missing covariates," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 66(1), pages 1-18, July.
    • Handle: RePEc:spr:metrik:v:66:y:2007:i:1:p:1-18
    DOI: 10.1007/s00184-006-0083-6
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    References listed on IDEAS

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    1. Vonesh E. F. & Wang H. & Nie L. & Majumdar D., 2002. "Conditional Second-Order Generalized Estimating Equations for Generalized Linear and Nonlinear Mixed-Effects Models," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 271-283, March.
    2. Brian S. Caffo & Wolfgang Jank & Galin L. Jones, 2005. "Ascent‐based Monte Carlo expectation– maximization," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 67(2), pages 235-251, April.
    3. W. R. Gilks & P. Wild, 1992. "Adaptive Rejection Sampling for Gibbs Sampling," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 41(2), pages 337-348, June.
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    Cited by:

    1. Eric Han & Majid Mojirsheibani, 2021. "On histogram-based regression and classification with incomplete data," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 84(5), pages 635-662, July.

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