Smoothed isotonic estimators of a monotone baseline hazard in the Cox model

Abstract
We consider the smoothed maximum likelihood estimator and the smoothed Grenander-type estimator for a monotone baseline hazard rate in the Cox model. We analyze their asymptotic behavior and show that they are asymptotically normal at rate , when~ is times continuously differentiable, and that both estimators are asymptotically equivalent. Finally, we present numerical results on pointwise confidence intervals that illustrate the comparable behavior of the two methods.
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