Semiparametric Regression Analysis of Mean Residual Life with Censored Survival Data

Ying Chen and Su-Chun Cheng
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Ying Chen: Division of Biostatistics, School of Public Health, University of California, Berkeley
Su-Chun Cheng: Department of Epidemiology & Biostatistics, University of California, San Francisco

No 1146, U.C. Berkeley Division of Biostatistics Working Paper Series from Berkeley Electronic Press

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.

Keywords: Counting process; estimating equation; failure time; life expectancy; proportional model; stochastic process (search for similar items in EconPapers)
Date: 2004-07-11
Note: oai:bepress.com:ucbbiostat-1146
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Citations: View citations in EconPapers (1)

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