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

Journal Article (2018)
Author(s)

HP Lopuhaä (TU Delft - Statistics)

Eni Musta (TU Delft - Statistics)

Research Group
Statistics
Copyright
© 2018 H.P. Lopuhaä, E. Musta
DOI related publication
https://doi.org/10.1111/sjos.12321
More Info
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Publication Year
2018
Language
English
Copyright
© 2018 H.P. Lopuhaä, E. Musta
Research Group
Statistics
Volume number
45
Pages (from-to)
753-791
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Abstract

We consider the smoothed maximum likelihood estimator and the smoothed Grenander-type estimator for a monotone baseline hazard rate 0 in the Cox model. We analyze their asymptotic behaviour and show that they are asymptotically normal at rate nm=.2mC1/, when 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.