Monitoring the progression of Alzheimer's disease with latent transition models

Monitoring the progression of Alzheimer's disease with latent transition models

Master of Science === Department of Statistics === Wei-Wen Hsu === BACKGROUND AND PURPOSE: Alzheimer's disease is currently a neurodegenerative diseases without any effective treatments to slow or reverse the progression. To develop any potential treatments, the need of a good statistical model...

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Bibliographic Details
Main Author:	Gu, Jiena
Language:	en_US
Published:	Kansas State University 2016
Subjects:	Alzheimer's Disease Latent Transition Models Disease Progression
Online Access:	http://hdl.handle.net/2097/32919

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