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Semiparametric maximum likelihood estimation in Cox proportional hazards model with covariate measurement errors

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  • Chi-Chung Wen

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Suggested Citation

  • Chi-Chung Wen, 2010. "Semiparametric maximum likelihood estimation in Cox proportional hazards model with covariate measurement errors," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 72(2), pages 199-217, September.
  • Handle: RePEc:spr:metrik:v:72:y:2010:i:2:p:199-217
    DOI: 10.1007/s00184-009-0248-1
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    References listed on IDEAS

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    1. Sharon X. Xie & C. Y. Wang & Ross L. Prentice, 2001. "A risk set calibration method for failure time regression by using a covariate reliability sample," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 63(4), pages 855-870.
    2. Cheng S-C. & Wang N., 2001. "Linear Transformation Models for Failure Time Data With Covariate Measurement Error," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 706-716, June.
    3. Chengcheng Hu, 2002. "Cox Regression with Covariate Measurement Error," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 29(4), pages 637-655.
    4. D. Zeng & D. Y. Lin, 2007. "Maximum likelihood estimation in semiparametric regression models with censored data," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 69(4), pages 507-564.
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    Cited by:

    1. Sehee Kim & Yi Li & Donna Spiegelman, 2016. "A semiparametric copula method for Cox models with covariate measurement error," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 22(1), pages 1-16, January.

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