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Smoothing Spline ANOVA Frailty Model for Recurrent Event Data

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  • Pang Du
  • Yihua Jiang
  • Yuedong Wang

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  • Pang Du & Yihua Jiang & Yuedong Wang, 2011. "Smoothing Spline ANOVA Frailty Model for Recurrent Event Data," Biometrics, The International Biometric Society, vol. 67(4), pages 1330-1339, December.
    • Handle: RePEc:bla:biomet:v:67:y:2011:i:4:p:1330-1339
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2011.01584.x
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    References listed on IDEAS

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    1. Robert L. Strawderman, 2005. "The accelerated gap times model," Biometrika, Biometrika Trust, vol. 92(3), pages 647-666, September.
    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. Young‐Ju Kim & Chong Gu, 2004. "Smoothing spline Gaussian regression: more scalable computation via efficient approximation," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 66(2), pages 337-356, May.
    4. Yijian Huang, 2002. "Censored regression with the multistate accelerated sojourn times model," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(1), pages 17-29, January.
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    Cited by:

    1. Xu Shu & Douglas E. Schaubel, 2017. "Methods for Contrasting Gap Time Hazard Functions: Application to Repeat Liver Transplantation," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 9(2), pages 470-488, December.
    2. Chandra, Hukum & Salvati, Nicola & Chambers, Ray, 2018. "Small area estimation under a spatially non-linear model," Computational Statistics & Data Analysis, Elsevier, vol. 126(C), pages 19-38.

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