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Bayesian Based Semiparametric Multidimensional Approaches To Analysis Parkinson's Disease, Jun Zhang

Dissertations & Theses (Open Access)

In the slow progression of Parkinson's Disease (PD), impairments arise and affect multiple domains (e.g., motor, cognitive, and behavioral). Mixed types, multivariate longitudinal data are commonly used in PD studies. Challenges exist in assessing PD status and investigating disease progression due to lack of biomarkers and ubiquitous impairment in the disease. We proposed a model framework by combining the semi-parametric approach and multi- dimensional framework, and used the proposed model to investigate the heterogeneous disease development and the non-linear treatment effects in the multiple domains predefined in PD.

Furthermore, we extended the semi-parametric multidimensional approach to the data with multi-types …