Evaluating Association Between Two Event Times with Observations Subject to Informative Censoring

• Published in: Journal of the American Statistical Association Vol. 118; no. 542; pp. 1282 - 1294
• Main Authors: Li, Dongdong, Hu, X. Joan, Wang, Rui
• Format: Journal Article
• Language: English
• Published: United States Taylor & Francis 03.04.2023; Taylor & Francis Ltd
• Subjects: Association parameter; Asymptotic methods; Asymptotic properties; Bivariate analysis; Breast cancer; breast neoplasms; byproducts; Copula model; data analysis; death; Marginal distribution; Pseudolikelihood estimation; Regression analysis; Semiparametric modeling; Simulation; Statistical methods; Statistics; Survival; survival rate; Association parameter; Pseudolikelihood estimation; Semiparametric modeling; Copula model; Marginal distribution

This article is concerned with evaluating the association between two event times without specifying the joint distribution parametrically. This is particularly challenging when the observations on the event times are subject to informative censoring due to a terminating event such as death. There a...