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A Semiparametric Mixture Model for Analyzing Clustered Competing Risks Data

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  • Malay Naskar
  • Kalyan Das
  • Joseph G. Ibrahim

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  • Malay Naskar & Kalyan Das & Joseph G. Ibrahim, 2005. "A Semiparametric Mixture Model for Analyzing Clustered Competing Risks Data," Biometrics, The International Biometric Society, vol. 61(3), pages 729-737, September.
    • Handle: RePEc:bla:biomet:v:61:y:2005:i:3:p:729-737
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2005.00341.x
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    References listed on IDEAS

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    1. Jaap H. Abbring & Gerard J. Van Den Berg, 2003. "The identifiability of the mixed proportional hazards competing risks model," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 65(3), pages 701-710, August.
    2. S. W. Lagakos, 1978. "A Covariate Model for Partially Censored Data Subject to Competing Causes of Failure," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 27(3), pages 235-241, November.
    3. Ian W. McKeague & Peter B. Gilbert & Phyllis J. Kanki, 2001. "Omnibus Tests for Comparison of Competing Risks with Adjustment for Covariate Effects," Biometrics, The International Biometric Society, vol. 57(3), pages 818-828, September.
    4. Amy H. Herring & Joseph G. Ibrahim & Stuart R. Lipsitz, 2002. "Frailty Models with Missing Covariates," Biometrics, The International Biometric Society, vol. 58(1), pages 98-109, March.
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    Cited by:

    1. Angelica Hernandez-Quintero & Jean-François Dupuy & Gabriel Escarela, 2011. "Analysis of a semiparametric mixture model for competing risks," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 63(2), pages 305-329, April.
    2. Yushu Shi & Purushottam Laud & Joan Neuner, 2021. "A dependent Dirichlet process model for survival data with competing risks," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 27(1), pages 156-176, January.

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