Electronic Theses and Dissertations

Identifier

2561

Date

2015

Date of Award

12-4-2015

Document Type

Thesis

Degree Name

Master of Science

Major

Mathematical Sciences

Concentration

Statistics

Committee Chair

Dale Bowman

Committee Member

Ebenezer Olesegun George

Committee Member

Su Chen

Abstract

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.

Comments

Data is provided by the student.

Library Comment

dissertation or thesis originally submitted to the local University of Memphis Electronic Theses & dissertation (ETD) Repository.

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