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Estimation in a change-point hazard regression model with long-term survivors

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  • Li, Yunxia
  • Qian, Lianfen
  • Zhang, Wei

Abstract

This paper estimates the change-point for a piecewise hazard regression model in the presence of right censoring and long-term survivors. The maximum likelihood estimators of the change point and other parameters are shown to be consistent. The proposed method is illustrated through analyzing the kidney infection recurrence data.

Suggested Citation

  • Li, Yunxia & Qian, Lianfen & Zhang, Wei, 2013. "Estimation in a change-point hazard regression model with long-term survivors," Statistics & Probability Letters, Elsevier, vol. 83(7), pages 1683-1691.
    • Handle: RePEc:eee:stapro:v:83:y:2013:i:7:p:1683-1691
    DOI: 10.1016/j.spl.2013.03.026
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    References listed on IDEAS

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    1. Dupuy, Jean-François, 2006. "Estimation in a change-point hazard regression model," Statistics & Probability Letters, Elsevier, vol. 76(2), pages 182-190, January.
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    Cited by:

    1. Alessandra R. Brazzale & Helmut Küchenhoff & Stefanie Krügel & Tobias S. Schiergens & Heiko Trentzsch & Wolfgang Hartl, 2019. "Nonparametric change point estimation for survival distributions with a partially constant hazard rate," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 25(2), pages 301-321, April.
    2. G. Y. Arenas & J. A. Villaseñor & O. Palmeros & F. Tajonar, 2021. "A computational method for estimating a change point in the Cox hazard model," Computational Statistics, Springer, vol. 36(4), pages 2491-2506, December.

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