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Smoothed Isotonic Estimators of a Monotone Baseline Hazard in the Cox Model

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  • Hendrik P. Lopuhaä
  • Eni Musta

Abstract

We consider the smoothed maximum likelihood estimator and the smoothed Grenander‐type estimator for a monotone baseline hazard rate λ 0 in the Cox model. We analyze their asymptotic behaviour and show that they are asymptotically normal at rate nm/(2m+1), when λ 0 is m≥2 times continuously differentiable, and that both estimators are asymptotically equivalent. Finally, we present numerical results on pointwise confidence intervals that illustrate the comparable behaviour of the two methods.

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  • Hendrik P. Lopuhaä & Eni Musta, 2018. "Smoothed Isotonic Estimators of a Monotone Baseline Hazard in the Cox Model," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 45(3), pages 753-791, September.
  • Handle: RePEc:bla:scjsta:v:45:y:2018:i:3:p:753-791
    DOI: 10.1111/sjos.12321
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    Cited by:

    1. Mercedes Conde‐Amboage & Ingrid Van Keilegom & Wenceslao González‐Manteiga, 2021. "A new lack‐of‐fit test for quantile regression with censored data," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 48(2), pages 655-688, June.
    2. Cécile Durot & Eni Musta, 2020. "On the Lp error of the Grenander‐type estimator in the Cox model," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 74(4), pages 559-591, November.

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