Modeling semi-competing risks data as a longitudinal bivariate process.

ABSTRACT: As individuals age, death is a competing risk for Alzheimer's disease (AD) but the reverse is not the case. As such, studies of AD can be placed within the semi-competing risks framework. Central to semi-competing risks, and in contrast to standard competing risks , is that one can learn about the dependence structure between the two events. To-date, however, most methods for semi-competing risks treat dependence as a nuisance and not a potential source of new clinical knowledge. We propose a novel regression-based framework that views the two time-to-event outcomes through the lens of a longitudinal bivariate process on a partition of the time scales of the two events. A key innovation of the framework is that dependence is represented in two distinct forms, local and global dependence, b

SUBMITTER: Nevo D 

PROVIDER: S-EPMC11573714 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature