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A Latent Autoregressive Model for Longitudinal Binary Data Subject to Informative Missingness

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  • Paul S. Albert
  • Dean A. Follmann
  • Shaohua A. Wang
  • Edward B. Suh

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  • Paul S. Albert & Dean A. Follmann & Shaohua A. Wang & Edward B. Suh, 2002. "A Latent Autoregressive Model for Longitudinal Binary Data Subject to Informative Missingness," Biometrics, The International Biometric Society, vol. 58(3), pages 631-642, September.
    • Handle: RePEc:bla:biomet:v:58:y:2002:i:3:p:631-642
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    File URL: http://hdl.handle.net/10.1111/j.0006-341X.2002.00631.x
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    References listed on IDEAS

    as
    1. Paul S. Albert & Dean A. Follmann, 2000. "Modeling Repeated Count Data Subject to Informative Dropout," Biometrics, The International Biometric Society, vol. 56(3), pages 667-677, September.
    2. Margaret C. Wu & Dean A. Follmann, 1999. "Use of Summary Measures to Adjust for Informative Missingness in Repeated Measures Data with Random Effects," Biometrics, The International Biometric Society, vol. 55(1), pages 75-84, March.
    3. Paul S. Albert, 2000. "A Transitional Model for Longitudinal Binary Data Subject to Nonignorable Missing Data," Biometrics, The International Biometric Society, vol. 56(2), pages 602-608, June.
    4. 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.
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    Cited by:

    1. Yu Liang & Wenbin Lu & Zhiliang Ying, 2009. "Joint Modeling and Analysis of Longitudinal Data with Informative Observation Times," Biometrics, The International Biometric Society, vol. 65(2), pages 377-384, June.
    2. Ruth M. Pfeiffer & Louise Ryan & Augusto Litonjua & David Pee, 2005. "A Case-Cohort Design for Assessing Covariate Effects in Longitudinal Studies," Biometrics, The International Biometric Society, vol. 61(4), pages 982-991, December.
    3. Miran A. Jaffa & Ayad A. Jaffa, 2019. "A Likelihood-Based Approach with Shared Latent Random Parameters for the Longitudinal Binary and Informative Censoring Processes," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 11(3), pages 597-613, December.
    4. Haiqun Lin & Charles E. McCulloch & Robert A. Rosenheck, 2004. "Latent Pattern Mixture Models for Informative Intermittent Missing Data in Longitudinal Studies," Biometrics, The International Biometric Society, vol. 60(2), pages 295-305, June.

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