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.
Disciplines
Statistical Methodology | Statistical Models | Statistical Theory | Survival Analysis
Suggested Citation
Chen, Ying Qing and Cheng, Su-Chun, "Semiparametric Regression Analysis of Mean Residual Life with Censored Survival Data" (May 2004). U.C. Berkeley Division of Biostatistics Working Paper Series. Working Paper 146.
https://biostats.bepress.com/ucbbiostat/paper146
Included in
Statistical Methodology Commons, Statistical Models Commons, Statistical Theory Commons, Survival Analysis Commons
Comments
Published 2005 in Biometrika 92, pp. 19-29.