Advisory Committee Chair
David T Redden
Advisory Committee Members
Janice L Case
Derek Dubay
Charles R Katholi
Jeff M Szychowski
Document Type
Dissertation
Date of Award
2017
Degree Name by School
Doctor of Philosophy (PhD) School of Public Health
Abstract
The use of propensity score methods have increased tremendously in the last several years. Propensity scores are used as a tool to correct the effects of confounding that can result in biased estimates of treatment effects. However, there is more than one method that employs propensity scores, and there is no guide in choosing the optimal method, in terms of Type I error and statistical power. This research aims to assess these attributes through a complex simulation study of a five variable model. The results of the simulations indicate performance of a particular propensity score method is dependent
Recommended Citation
Turley, Falynn Cartmill, "Statistical Tests for Confounding" (2017). All ETDs from UAB. 3181.
https://digitalcommons.library.uab.edu/etd-collection/3181