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Smoothing Spline-Based Score Tests for Proportional Hazards Models

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  • Jiang Lin
  • Daowen Zhang
  • Marie Davidian

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Suggested Citation

  • Jiang Lin & Daowen Zhang & Marie Davidian, 2006. "Smoothing Spline-Based Score Tests for Proportional Hazards Models," Biometrics, The International Biometric Society, vol. 62(3), pages 803-812, September.
  • Handle: RePEc:bla:biomet:v:62:y:2006:i:3:p:803-812
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2005.00521.x
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    References listed on IDEAS

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    1. Ruppert,David & Wand,M. P. & Carroll,R. J., 2003. "Semiparametric Regression," Cambridge Books, Cambridge University Press, number 9780521785167.
    2. Robert J. Gray, 2000. "Estimation of Regression Parameters and the Hazard Function in Transformed Linear Survival Models," Biometrics, The International Biometric Society, vol. 56(2), pages 571-576, June.
    3. Wensheng Guo, 2002. "Inference in smoothing spline analysis of variance," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(4), pages 887-898, October.
    4. Ruppert,David & Wand,M. P. & Carroll,R. J., 2003. "Semiparametric Regression," Cambridge Books, Cambridge University Press, number 9780521780506.
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    Cited by:

    1. Takumi Saegusa & Chongzhi Di & Ying Qing Chen, 2014. "Hypothesis testing for an extended cox model with time-varying coefficients," Biometrics, The International Biometric Society, vol. 70(3), pages 619-628, September.
    2. Min Zhang & Marie Davidian, 2008. "“Smooth” Semiparametric Regression Analysis for Arbitrarily Censored Time-to-Event Data," Biometrics, The International Biometric Society, vol. 64(2), pages 567-576, June.
    3. Jason Roy & Michael J. Daniels, 2008. "A General Class of Pattern Mixture Models for Nonignorable Dropout with Many Possible Dropout Times," Biometrics, The International Biometric Society, vol. 64(2), pages 538-545, June.

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