journal article Feb 19, 2025

Proportional Mean Residual Life Model With Varying Coefficients for Right Censored Data

View at Publisher Save 10.1002/sim.70008
Abstract
ABSTRACT
The mean residual life provides the remaining life expectancy of a subject who has survived to a specific time point. This paper considers a proportional mean residual life model with varying coefficients, which allows one to explore the nonlinear interactions between some covariates and an exposure variable. In a semiparametric setting, we construct local estimating equations to obtain the varying coefficients and establish the asymptotic normality of the proposed estimators. Moreover, the weak convergence property for the local estimator of the baseline mean residual life function is developed. We conduct simulation studies to empirically examine the finite‐sample performance of the proposed methods and apply the methodology to a real‐life dataset on type 2 diabetic complications.
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Published
Feb 19, 2025
Vol/Issue
44(5)
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Funding
National Natural Science Foundation of China Award: 11971301
University Grants Committee Award: 14303622
Cite This Article
Bing Wang, Xinyuan Song, Qian Zhao (2025). Proportional Mean Residual Life Model With Varying Coefficients for Right Censored Data. Statistics in Medicine, 44(5). https://doi.org/10.1002/sim.70008