Date of Award
6-1-2009
Degree Name
Doctor of Philosophy
Department
Statistics
First Advisor
Dr. Michael R. Stoline
Second Advisor
Dr. Joseph W. McKean
Third Advisor
Dr. Rajib Paul
Fourth Advisor
Dr. Hong Liu-Seifert
Abstract
Previous statistical analyses of patient discontinuation in clinical trials have used discontinuation status as the response of interest. These analyses assume that the risks of discontinuation for specific reasons (lack of efficacy, adverse events, other reasons) are independent of each other and that significant risk factors for patient discontinuation have the same effect on the different causes of discontinuation. However, it is possible that the underlying risks of discontinuation for specific reasons could be related and that risk factors for one type of discontinuation could have a very different effect on another type of discontinuation. The competing risks methodology can be applied to test for significant differences between the different risks of discontinuation and determine significant predictors of discontinuation specific to each type of discontinuation. These competing risks methods are applied to real-world clinical trial data in multiple disease states, which have not been applied previously in the analysis of patient discontinuation.
Access Setting
Dissertation-Open Access
Recommended Citation
Nantz, Eric, "Testing Equality of Competing Risks of Patient Discontinuation across Multiple Disease States" (2009). Dissertations. 689.
https://scholarworks.wmich.edu/dissertations/689