An accelerated failure time regression model for illness–death data: A frailty approach

• Published in: Biometrics Vol. 79; no. 4; pp. 3066 - 3081
• Main Authors: Kats, Lea, Gorfine, Malka
• Format: Journal Article
• Language: English
• Published: United States Blackwell Publishing Ltd 01.12.2023
• Subjects: Algorithms; Breast cancer; breast neoplasms; Computer Simulation; Data analysis; Death; Failure times; Frailty; goodness of fit; Humans; Illnesses; illness–death model; kernel method; Likelihood Functions; Maximum likelihood estimation; Models, Statistical; motivation; regression analysis; Regression models; semicompeting risks; shared frailty; Survival Analysis; Time; kernel method; shared frailty; illness-death model; goodness of fit; semicompeting risks

This work presents a new model and estimation procedure for the illness–death survival data where the hazard functions follow accelerated failure time (AFT) models. A shared frailty variate induces positive dependence among failure times of a subject for handling the unobserved dependency between th...