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Nonparametric analysis of competing risks data with event category missing at random

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  • Natalia A. Gouskova
  • Feng-Chang Lin
  • Jason P. Fine

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  • Natalia A. Gouskova & Feng-Chang Lin & Jason P. Fine, 2017. "Nonparametric analysis of competing risks data with event category missing at random," Biometrics, The International Biometric Society, vol. 73(1), pages 104-113, March.
    • Handle: RePEc:bla:biomet:v:73:y:2017:i:1:p:104-113
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    File URL: http://hdl.handle.net/10.1111/biom.12547
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    References listed on IDEAS

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    1. Kaifeng Lu & Anastasios A. Tsiatis, 2001. "Multiple Imputation Methods for Estimating Regression Coefficients in the Competing Risks Model with Missing Cause of Failure," Biometrics, The International Biometric Society, vol. 57(4), pages 1191-1197, December.
    2. Feng-Chang Lin & Jianwen Cai & Jason P. Fine & Huichuan J. Lai, 2013. "Nonparametric estimation of the mean function for recurrent event data with missing event category," Biometrika, Biometrika Trust, vol. 100(3), pages 727-740.
    3. Qihua Wang & Gregg Dinse & Chunling Liu, 2012. "Hazard function estimation with cause-of-death data missing at random," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 64(2), pages 415-438, April.
    4. Guozhi Gao & Anastasios A. Tsiatis, 2005. "Semiparametric estimators for the regression coefficients in the linear transformation competing risks model with missing cause of failure," Biometrika, Biometrika Trust, vol. 92(4), pages 875-891, December.
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    Cited by:

    1. M. S. Sisuma & P. G. Sankaran, 2022. "Non-parametric test of recurrent cumulative incidence functions for competing risks models," METRON, Springer;Sapienza Università di Roma, vol. 80(3), pages 331-342, December.
    2. Huijuan Ma & Limin Peng & Zhumin Zhang & HuiChuan J. Lai, 2018. "Generalized accelerated recurrence time model for multivariate recurrent event data with missing event type," Biometrics, The International Biometric Society, vol. 74(3), pages 954-965, September.

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