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Joint analysis of panel count data with an informative observation process and a dependent terminal event

Author

Listed:
  • Jie Zhou

    (Capital Normal University)

  • Haixiang Zhang

    () (Tianjin University)

  • Liuquan Sun

    (Chinese Academy of Sciences)

  • Jianguo Sun

    (University of Missouri)

Abstract

Panel count data occur in many clinical and observational studies, and in many situations, the observation process may be informative and also there may exist a terminal event such as death which stops the follow-up. In this article, we propose a new joint model for the analysis of panel count data in the presence of both an informative observation process and a dependent terminal event via two latent variables. For the inference on the proposed models, a class of estimating equations is developed and the resulting estimators are shown to be consistent and asymptotically normal. In addition, a lack-of-fit test is provided for assessing the adequacy of the models. Simulation studies suggest that the proposed approach works well for practical situations. A real example from a bladder cancer clinical trial is used to illustrate the proposed methods.

Suggested Citation

  • Jie Zhou & Haixiang Zhang & Liuquan Sun & Jianguo Sun, 2017. "Joint analysis of panel count data with an informative observation process and a dependent terminal event," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 23(4), pages 560-584, October.
  • Handle: RePEc:spr:lifeda:v:23:y:2017:i:4:d:10.1007_s10985-016-9375-y
    DOI: 10.1007/s10985-016-9375-y
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    References listed on IDEAS

    as
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