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Computationally Efficient Marginal Models for Clustered Recurrent Event Data

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  • Dandan Liu
  • Douglas E. Schaubel
  • John D. Kalbfleisch

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  • Dandan Liu & Douglas E. Schaubel & John D. Kalbfleisch, 2012. "Computationally Efficient Marginal Models for Clustered Recurrent Event Data," Biometrics, The International Biometric Society, vol. 68(2), pages 637-647, June.
    • Handle: RePEc:bla:biomet:v:68:y:2012:i:2:p:637-647
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2011.01676.x
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    References listed on IDEAS

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    1. Yining Ye & John D. Kalbfleisch & Douglas E. Schaubel, 2007. "Semiparametric Analysis of Correlated Recurrent and Terminal Events," Biometrics, The International Biometric Society, vol. 63(1), pages 78-87, March.
    2. D. Y. Lin & L. J. Wei & I. Yang & Z. Ying, 2000. "Semiparametric regression for the mean and rate functions of recurrent events," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 62(4), pages 711-730.
    3. J. Sun & L. J. Wei, 2000. "Regression analysis of panel count data with covariate‐dependent observation and censoring times," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 62(2), pages 293-302.
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    Cited by:

    1. He, Haijin & Pan, Deng & Sun, Liuquan & Li, Yimei & Robison, Leslie L. & Song, Xinyuan, 2017. "Analysis of a fixed center effect additive rates model for recurrent event data," Computational Statistics & Data Analysis, Elsevier, vol. 112(C), pages 186-197.
    2. Marie Böhnstedt & Jutta Gampe & Monique A. A. Caljouw & Hein Putter, 2023. "Incorporating delayed entry into the joint frailty model for recurrent events and a terminal event," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 29(3), pages 585-607, July.
    3. Kang Fang Yuan, 2018. "The Model and the Inference for the Clustered Recurrent Event," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 5(4), pages 106-107, February.

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