Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/12553
Title: Proportional hazards models for survival data with long-term survivors
Authors: Zhao, X
Zhou, X
Keywords: Counting process
Cox proportional hazards model
Long-term survivor
Martingale
Maximum likelihood estimation
Partial likelihood
Issue Date: 2006
Publisher: Elsevier Science Bv
Source: Statistics and probability letters, 2006, v. 76, no. 15, p. 1685-1693 How to cite?
Journal: Statistics and Probability Letters 
Abstract: In this paper we study the Cox proportional hazards model for survival data in the presence of long-term survivors. Both semiparametric and full parametric versions of the Cox model are considered. Partial likelihood and full likelihood are used to obtain the estimators of the coefficients of covariates and the long-term survivor proportion. Their asymptotic properties are also derived based on counting process and martingale theory. Simulations are carried out to check and compare the performance of the estimators between semiparametric and full parametric models.
URI: http://hdl.handle.net/10397/12553
ISSN: 0167-7152
DOI: 10.1016/j.spl.2006.04.018
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