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A Class of Semiparametric Mixture Cure Survival Models With Dependent Censoring

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  • Othus, Megan
  • Li, Yi
  • Tiwari, Ram C.

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  • Othus, Megan & Li, Yi & Tiwari, Ram C., 2009. "A Class of Semiparametric Mixture Cure Survival Models With Dependent Censoring," Journal of the American Statistical Association, American Statistical Association, vol. 104(487), pages 1241-1250.
    • Handle: RePEc:bes:jnlasa:v:104:i:487:y:2009:p:1241-1250
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    Cited by:

    1. Lu Wang & Pang Du & Hua Liang, 2012. "Two-Component Mixture Cure Rate Model with Spline Estimated Nonparametric Components," Biometrics, The International Biometric Society, vol. 68(3), pages 726-735, September.
    2. Yuan Mengdie & Diao Guoqing, 2014. "Semiparametric Odds Rate Model for Modeling Short-Term and Long-Term Effects with Application to a Breast Cancer Genetic Study," The International Journal of Biostatistics, De Gruyter, vol. 10(2), pages 1-19, November.
    3. Yujing Xie & Zhangsheng Yu, 2021. "Mixture cure rate models with neural network estimated nonparametric components," Computational Statistics, Springer, vol. 36(4), pages 2467-2489, December.
    4. Hu, Tao & Xiang, Liming, 2016. "Partially linear transformation cure models for interval-censored data," Computational Statistics & Data Analysis, Elsevier, vol. 93(C), pages 257-269.
    5. Patilea, Valentin & Van Keilegom, Ingrid, 2017. "A general approach for cure models in survival analysis," LIDAM Discussion Papers ISBA 2017008, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).

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