Exposure assessment for Cox proportional hazards cure models with interval‐censored survival data

Mixture cure models have been developed as an effective tool to analyze failure time data with a cure fraction. Used in conjunction with the logistic regression model, this model allows covariate‐adjusted inference of an exposure effect on the cured probability and the hazard of failure for the uncured subjects. However, the covariate‐adjusted inference for the overall exposure effect is not directly provided. In this paper, we describe a Cox...