Date of Award
Master of Science
Ebenezer Olesegun George
The purpose of this study is to determine the relationship between hereditary attributes of patients that have been diagnosed with ALS and the change in their respective ALSFRS and/or ALSFRS-R scores over the length of a clinical trial in which they participated. These scores assess the patient's ability to perform everyday tasks, as well as describe the capability to breathe and eat. Data for each of the 8,600 patients was collected by a group called PRO-ACT, and was de-identified prior to access. Bayesian methods are used to estimate the mean of the posterior distributions of parameters in a simple linear model. Gibbs sampling is used to estimate posterior distributions of regression parameters in order to determine which covariates may afftect the progression of ALS as measured by change in ALSFRS(-R) score.
dissertation or thesis originally submitted to the local University of Memphis Electronic Theses & dissertation (ETD) Repository.
Coleman, Kathryn Dee, "A Bayesian Analysis of the Impact of Hereditary Attributes on the Diagnosis of ALS Patients" (2015). Electronic Theses and Dissertations. 1320.