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Nonparametric Association Analysis of Exchangeable Clustered Competing Risks Data

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  • Yu Cheng
  • Jason P. Fine
  • Michael R. Kosorok

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  • Yu Cheng & Jason P. Fine & Michael R. Kosorok, 2009. "Nonparametric Association Analysis of Exchangeable Clustered Competing Risks Data," Biometrics, The International Biometric Society, vol. 65(2), pages 385-393, June.
    • Handle: RePEc:bla:biomet:v:65:y:2009:i:2:p:385-393
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2008.01072.x
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    References listed on IDEAS

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    1. Cheng, Yu & Fine, Jason P. & Kosorok, Michael R., 2007. "Nonparametric Association Analysis of Bivariate Competing-Risks Data," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 1407-1415, December.
    2. Karen Bandeen-Roche, 2002. "Modelling multivariate failure time associations in the presence of a competing risk," Biometrika, Biometrika Trust, vol. 89(2), pages 299-314, June.
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    Cited by:

    1. Tian Dai & Ying Guo & Limin Peng & Amita K. Manatunga, 2018. "A local agreement pattern measure based on hazard functions for survival outcomes," Biometrics, The International Biometric Society, vol. 74(1), pages 86-99, March.
    2. Joanna H. Shih & Paul S. Albert, 2010. "Modeling Familial Association of Ages at Onset of Disease in the Presence of Competing Risk," Biometrics, The International Biometric Society, vol. 66(4), pages 1012-1023, December.
    3. Cheng Yu, 2009. "Modeling Cumulative Incidences of Dementia and Dementia-Free Death Using a Novel Three-Parameter Logistic Function," The International Journal of Biostatistics, De Gruyter, vol. 5(1), pages 1-19, November.
    4. Jeongyong Kim & Karen Bandeen-Roche, 2019. "Parametric estimation of association in bivariate failure-time data subject to competing risks: sensitivity to underlying assumptions," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 25(2), pages 259-279, April.

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