JSM 2004 Online Program

Abstract #300088

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Activity Number:	416
Type:	Invited
Date/Time:	Thursday, August 12, 2004 : 10:30 AM to 12:20 PM
Sponsor:	WNAR
Abstract - #300088
Title:	Semiparametric Regression Analysis of Mean Residual Life with Censored Survival Data
Author(s):	Ying Qing Chen*+
Companies:	University of California, Berkeley
Address:	140 Warren Hall #7360, Berkeley, CA, 94720,
Keywords:	stochastic process ; counting process ; estimating equation ; failure time ; life expectancy ; proportional model
Abstract:	As a function of time t, mean residual life is the remaining life expectancy of a subject given survival up to t. The proportional mean residual life model, proposed by Oakes & Dasu (1990), provides an alternative to the Cox proportional hazards model to study the association between survival times and covariates. In the presence of censoring, we develop semiparametric inference procedures for the regression coefficients of the Oakes-Dasu model using martingale theory for counting processes. We also present simulation studies and an application to the Veterans' Administration lung cancer data.

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