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• W3042061322 abstract "The Adult Changes in Thought (ACT) study is a long-running prospective study of incident all-cause dementia and Alzheimer's disease (AD). As the cohort ages, death (a terminal event) is a prominent competing risk for AD (a non-terminal event), although the reverse is not the case. As such, analyses of data from ACT 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 scale. A key innovation of the framework is that dependence is represented in two distinct forms, $textit{local}$ and $textit{global}$ dependence, both of which have intuitive clinical interpretations. Estimation and inference are performed via penalized maximum likelihood, and can accommodate right censoring, left truncation and time-varying covariates. The framework is used to investigate the role of gender and having $ge$1 APOE-$epsilon4$ allele on the joint risk of AD and death." @default.
• W3042061322 created "2020-07-16" @default.
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• W3042061322 date "2020-07-08" @default.
• W3042061322 modified "2023-09-27" @default.
• W3042061322 title "Modeling semi-competing risks data as a longitudinal bivariate process" @default.
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