Life expectancy, i.e., mean residual life function, has been of important practical and scientific interests to characterise the distribution of residual life. Regression models are often needed to model the association between life expectancy and its covariates. In this article, we consider a linear mean residual life model and further developed some inference procedures in presence of censoring. The new model and proposed inference procedure will be demonstrated by numerical examples and application to the well-known Stanford heart transplant data. Additional semiparametric efficiency calculation and information bound are also considered.
Statistical Methodology | Statistical Models | Statistical Theory | Survival Analysis
Chen, Ying Qing and Cheng, Su-Chun, "Linear Life Expectancy Regression with Censored Data" (August 2004). U.C. Berkeley Division of Biostatistics Working Paper Series. Working Paper 154.