Summarising censored survival data using the mean residual life function

Nonparametric Estimation of the Conditional Mean Residual Life Function Based on Censored Data

The conditional mean residual life (MRL) function is the expected remaining life given a set of predictors. In this work we consider two nonparametric estimators of the conditional MRL function when the lifetime variable is subject to right censoring. We discuss some theoretical difficulties with current semiparametric models for MRL function estimation methods. We derive the asymptotic consist...

A class of mean residual life regression models with censored survival data

When describing a failure time distribution, the mean residual life is sometimes preferred to the survival or hazard rate. Regression analysis making use of the mean residual life function has recently drawn a great deal of attention. In this paper, a class of mean residual life regression models are proposed for censored data, and estimation procedures and a goodness-of-fit test are developed....

Inference on Conditional Quantile Residual Life for Censored Survival Data

Nonparametric Estimation of Mean Residual Life Function Using Scale Mixtures

Abstract The mean residual life function (mrlf) of a subject is defined as the average residual lifetime of the subject given that the subject has survived up to a given time point. A smooth nonparametric estimator of the mrlf is proposed using a scale mixtures of the empirical estimate of the mrlf. Asymptotic properties are established. The performances of the proposed estimator are studied ba...

On Testing Monotonicity of Mean Residual Life from Randomly Censored Data