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• W2963996681 abstract "We consider two isotonic smooth estimators for a monotone baseline hazard in the Cox model, a maximum smooth likelihood estimator and a Grenander-type estimator based on the smoothed Breslow estimator for the cumulative baseline hazard. We show that they are both asymptotically normal at rate nm∕(2m+1), where m≥2 denotes the level of smoothness considered, and we relate their limit behavior to kernel smoothed isotonic estimators studied in Lopuhaä and Musta (2016). It turns out that the Grenander-type estimator is asymptotically equivalent to the kernel smoothed isotonic estimators, while the maximum smoothed likelihood estimator exhibits the same asymptotic variance but a different bias. Finally, we present numerical results on pointwise confidence intervals that illustrate the comparable behavior of the two methods." @default.
• W2963996681 created "2019-07-30" @default.
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• W2963996681 creator A5061249254 @default.
• W2963996681 date "2017-12-01" @default.
• W2963996681 modified "2023-10-03" @default.
• W2963996681 title "Isotonized smooth estimators of a monotone baseline hazard in the Cox model" @default.
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• W2963996681 doi "https://doi.org/10.1016/j.jspi.2017.05.010" @default.
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