On generalized maximum likelihood estimation in the proportional hazards model with partially informative censoring

The generalized maximum likelihood estimator (GMLE) is derived and some of its variants are compared with the partial Abdushukurov-Cheng-Lin (PACL) and Kaplan-Meier (KM) estimators under the proportional hazards model with partially informative censoring. A comparison of small sample properties is conducted based on a simulation study. The results show that the GMLEs perform competitively with the PACL estimator. Copyright Springer-Verlag 2004

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Year of publication:	2004
Authors:	Zhang, Haimeng ; Rao, M. Bhaskara
Published in:	Metrika. - Springer. - Vol. 59.2004, 2, p. 125-136
Publisher:	Springer
Subject:	Generalized Maximum Likelihood Estimator \| Proportional Hazards Model \| Informative Censoring \| PACL Estimator

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

Persistent link: https://www.econbiz.de/10005756323