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A semiparametric additive rates model for the weighted composite endpoint of recurrent and terminal events

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  • Xiaowei Sun

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Jieli Ding

    (Wuhan University)

  • Liuquan Sun

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

Abstract

Recurrent event data with a terminal event commonly arise in longitudinal follow-up studies. We use a weighted composite endpoint of all recurrent and terminal events to assess the overall effects of covariates on the two types of events. A semiparametric additive rates model is proposed to analyze the weighted composite event process and the dependence structure among recurrent and terminal events is left unspecified. An estimating equation approach is developed for inference, and the asymptotic properties of the resulting estimators are established. The finite-sample behavior of the proposed estimators is evaluated through simulation studies, and an application to a bladder cancer study is illustrated.

Suggested Citation

  • Xiaowei Sun & Jieli Ding & Liuquan Sun, 2020. "A semiparametric additive rates model for the weighted composite endpoint of recurrent and terminal events," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 26(3), pages 471-492, July.
    • Handle: RePEc:spr:lifeda:v:26:y:2020:i:3:d:10.1007_s10985-019-09486-w
    DOI: 10.1007/s10985-019-09486-w
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    References listed on IDEAS

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