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Activity Number: 570 - Joint Modeling of Longitudinal and Survival Data
Type: Contributed
Date/Time: Wednesday, July 31, 2019 : 2:00 PM to 3:50 PM
Sponsor: Biometrics Section
Abstract #307273 Presentation
Title: Novel Joint Models for Identifying Determinants of Cognitive Decline in the Presence of Informative Drop-Out and Observation Times
Author(s): Kendra Plourde*
Keywords: Joint models; Linear mixed effects; Frailty; Cox proportional hazards; Informative drop-out; Informative observation times

Many statistical challenges exist in longitudinal studies of cognition. For example, cognitive decline is associated with debilitating health consequences, such as death, making the drop-out mechanism informative. Further, participants experiencing cognitive decline might be more/less likely to agree to neuropsychological testing making the observation times informative. In many longitudinal settings a linear mixed effects model is used to estimate cognitive decline, but this method ignores informative drop-out and informative observation times leading to spurious and biased associations. Recently, joint models have become a promising solution to these issues by combining the linear mixed effects model with a Cox proportional hazards model, to take into account informative drop-out, and a frailty model, to take into account informative observation times. In our study we propose a novel joint model specifically tailored to modeling cognitive decline.

Authors who are presenting talks have a * after their name.

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