On penalized likelihood estimation for a non-proportional hazards regression model

In this paper, a semi-parametric generalization of the Cox model that permits crossing hazard curves is described. A theoretical framework for estimation in this model is developed based on penalized likelihood methods. It is shown that the optimal solution to the baseline hazard, baseline cumulative hazard and their ratio are hyperbolic splines with knots at the distinct failure times.

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Year of publication:	2013
Authors:	Devarajan, Karthik ; Ebrahimi, Nader
Published in:	Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 83.2013, 7, p. 1703-1710
Publisher:	Elsevier
Subject:	Censored survival data analysis \| Crossing hazards \| Proportional hazards \| Spline \| Penalized likelihood

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://ebvufind01.dmz1.zbw.eu/10010665591