An Analysis of All-Cause Mortality on Patients with Sickle Cell Disease and Kidney Disease using Propensity Score Matching

<p>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.</p>

Name thesis:degree_name

Master of Science - Statistics

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Mathematics and Statistics

Year dc:date.available

2023

Author dc:creator

• Garrison, Adam

Contributors dc:contributor

• Jacob Turner

• Propensity Score Matching
• Survival Analysis
• Applied Statistics
• Statistical Methodology

Repository record dc:identifier

https://scholarworks.sfasu.edu/etds/511

OAI identifier oai:identifier

oai:scholarworks.sfasu.edu:etds-1543