Title :
A Latent Model Approach to Study Postural Instability for Parkinson´s Disease
Author :
Huang, Peng ; Chen, Ming-Hui ; Sinha, Debajyoti
Author_Institution :
Dept. of Biostat., Bioinf., & Epidemiology, Med. Univ. of South Carolina, Charleston, SC
Abstract :
Postural instability is an important measure of Parkinson´s disease conditions. Because of the fluctuation of clinical symptoms and large inter-rater and intra-rater variation, traditional method of analyzing postural instability using its onset time measure can result in controversial conclusion of treatment benefit. We propose a Brownian motion based latent structure model to study treatment´s effect on postural instability The new method not only incorporates patient´s multiple onset times, but also the special covariate structure of postural instability process. The proposed model does not require even-spaced visiting schedules, and the correlation of the binary process is naturally built through the underlying latent Brownian motion process. Theoretical and computational properties of the proposed model are examined. A dataset from a double-blinded multicenter Parkinson´s disease clinical trial is used to demonstrate the methodology.
Keywords :
Brownian motion; diseases; fluctuations; medical diagnostic computing; patient monitoring; Brownian motion process; Parkinson´s disease; clinical symptoms fluctuation; latent structure model; patient treatment; postural instability; Bioinformatics; Biological system modeling; Biomedical measurements; Clinical trials; Fluctuations; Medical treatment; Parkinson´s disease; Shoulder; Testing; Time measurement; Binary process; Brownian motion; Latent model; Probit model; Random effects model;
Conference_Titel :
BioMedical Engineering and Informatics, 2008. BMEI 2008. International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-0-7695-3118-2
DOI :
10.1109/BMEI.2008.337