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A Bayesian Latent Scale Model For Multivariate Longitudinal Data, Kruti Pandya
A Bayesian Latent Scale Model For Multivariate Longitudinal Data, Kruti Pandya
Dissertations and Theses
In order to understand the entire course of slow progressing diseases like Alzheimer's dementia or multiple sclerosis, it is essential to characterize long term disease dynamics from a healthy stage to a late disease stage. Cohort studies typically recruit subjects at different stages of the disease and then follow them for a relatively short period of time. In this dissertation, we propose a novel Bayesian nonlinear mixed effects model with latent time scale to characterize long term disease dynamics using the observed short term longitudinal data from cohort studies without relying on clinical diagnosis. This model can accommodate noisy longitudinal …