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Robust inference for the proportional hazards model with two-phase cohort sampling data

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  • Lin, Chanjuan
  • Zheng, Ming
  • Yu, Wen
  • Wu, Mingzhe

Abstract

We develop a robust inference procedure for misspecified Cox proportional hazards model under several two-phase cohort sampling designs. The asymptotic properties of the proposed approach are derived. Numerical studies are conducted to illustrate the finite sample performance.

Suggested Citation

  • Lin, Chanjuan & Zheng, Ming & Yu, Wen & Wu, Mingzhe, 2019. "Robust inference for the proportional hazards model with two-phase cohort sampling data," Statistics & Probability Letters, Elsevier, vol. 153(C), pages 98-103.
    • Handle: RePEc:eee:stapro:v:153:y:2019:i:c:p:98-103
    DOI: 10.1016/j.spl.2019.05.014
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    References listed on IDEAS

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    1. Donglin Zeng & D. Y. Lin, 2014. "Efficient Estimation of Semiparametric Transformation Models for Two-Phase Cohort Studies," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(505), pages 371-383, March.
    2. Kani Chen, 2001. "Generalized case–cohort sampling," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 63(4), pages 791-809.
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