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Survival model construction guided by fit and predictive strength

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  • Cécile Chauvel
  • John O'Quigley

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  • Cécile Chauvel & John O'Quigley, 2017. "Survival model construction guided by fit and predictive strength," Biometrics, The International Biometric Society, vol. 73(2), pages 483-494, June.
    • Handle: RePEc:bla:biomet:v:73:y:2017:i:2:p:483-494
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    File URL: http://hdl.handle.net/10.1111/biom.12611
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    References listed on IDEAS

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    1. R. Kay, 1977. "Proportional Hazard Regression Models and the Analysis of Censored Survival Data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 26(3), pages 227-237, November.
    2. C. Chauvel & J. O'Quigley, 2014. "Tests for comparing estimated survival functions," Biometrika, Biometrika Trust, vol. 101(3), pages 535-552.
    3. Zongwu Cai & Yanqing Sun, 2003. "Local Linear Estimation for Time‐Dependent Coefficients in Cox's Regression Models," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 30(1), pages 93-111, March.
    4. Thomas H. Scheike & Torben Martinussen, 2004. "Maximum Likelihood Estimation for Cox's Regression Model Under Case–Cohort Sampling," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 31(2), pages 283-293, June.
    5. Emura, Takeshi & Chen, Yi-Hau, 2014. "Gene selection for survival data under dependent censoring: a copula-based approach," MPRA Paper 58043, University Library of Munich, Germany.
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