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Random Effects Logistic Regression Analysis with Auxiliary Covariates

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  • Haibo Zhou
  • Jianwei Chen
  • Jianwen Cai

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  • Haibo Zhou & Jianwei Chen & Jianwen Cai, 2002. "Random Effects Logistic Regression Analysis with Auxiliary Covariates," Biometrics, The International Biometric Society, vol. 58(2), pages 352-360, June.
    • Handle: RePEc:bla:biomet:v:58:y:2002:i:2:p:352-360
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    File URL: http://hdl.handle.net/10.1111/j.0006-341X.2002.00352.x
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    References listed on IDEAS

    as
    1. Hyejin KO & Marie Davidian, 2000. "Correcting for Measurement Error in Individual-Level Covariates in Nonlinear Mixed Effects Models," Biometrics, The International Biometric Society, vol. 56(2), pages 368-375, June.
    2. Halbo Zhou & C.‐Y. Wang, 2000. "Failure time regression with continuous covariates measured with error," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 62(4), pages 657-665.
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    Cited by:

    1. Xiaofei Wang & Haibo Zhou, 2010. "Design and Inference for Cancer Biomarker Study with an Outcome and Auxiliary-Dependent Subsampling," Biometrics, The International Biometric Society, vol. 66(2), pages 502-511, June.
    2. Wai-Yin Poon & Hai-Bin Wang, 2010. "Bayesian Analysis of Multivariate Probit Models with Surrogate Outcome Data," Psychometrika, Springer;The Psychometric Society, vol. 75(3), pages 498-520, September.
    3. Li Liu & Liming Xiang, 2014. "Semiparametric estimation in generalized linear mixed models with auxiliary covariates: A pairwise likelihood approach," Biometrics, The International Biometric Society, vol. 70(4), pages 910-919, December.
    4. Liu, Li & Xiang, Liming, 2019. "Missing covariate data in generalized linear mixed models with distribution-free random effects," Computational Statistics & Data Analysis, Elsevier, vol. 134(C), pages 1-16.

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