Abstract
As a function of time t, mean residual life is defined as remaining life expectancy of a subject given its survival to t. It plays an important role in many research areas to characterise stochastic behavior of survival over time. Similar to the Cox proportional hazard model, the proportional mean residual life model were proposed in statistical literature to study association between the mean residual life and individual subject's explanatory covariates. In this article, we will study this model and develop appropriate inference procedures in presence of censoring. Numerical studies including simulation and real data analysis are presented as well.
Disciplines
Statistical Methodology | Statistical Models | Statistical Theory | Survival Analysis
Suggested Citation
Chen, Ying Q. and Jewell, Nicholas P., "Inference for Proportional Mean Residual Life Model in the Presence of Censoring" (May 2002). U.C. Berkeley Division of Biostatistics Working Paper Series. Working Paper 108.
https://biostats.bepress.com/ucbbiostat/paper108
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