Evaluating Association Between Two Event Times with Observations Subject to Informative Censoring
信息性删失下两个事件时间的关联评估
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 are few methods suitable for assessing covariate effects on association in this context. We link the joint distribution of the two event times and the informative censoring time…