Date of Award
Spring 5-8-2023
Degree Type
Thesis
Degree Name
Master of Science - Statistics
Department
Mathematics and Statistics
First Advisor
Jacob Turner
Abstract
In this work, we provide an overview of the Cox proportional hazards model for time to event or survival analysis and the notion of propensity score matching to deal with confounding factors. A full analysis is reported in Chapter 2 concerning mortality for in-center dialysis patients with sickle cell disease to demonstrate the application of a general analysis strategy that has some logistical benefits over more traditional approaches to accounting for confounding variables. We also provide some insight and discussions on the challenges and future research questions that will emerge when trying to implement this strategy as a monitoring tool over time.
Repository Citation
Garrison, Adam, "An Analysis of All-Cause Mortality on Patients with Sickle Cell Disease and Kidney Disease using Propensity Score Matching" (2023). Electronic Theses and Dissertations. 511.
https://scholarworks.sfasu.edu/etds/511
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
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