This dissertation provides insights into how intravenous bisphosphonate therapies are being used in patients with multiple myeloma at the population level and informs decision-making about administration frequency of these drugs in different patients with varying risks for skeletal-related events. We further critically examined the performance of five commonly used recurrent event analyses techniques using multiple datasets generated with plasmode simulation. We compared the results on biases and variances of the treatment effects against the known simulated treatment effect in up to nine scenarios for recurrent event analyses in the presence of complex data structure typical for claims databases.
History
Advisor
Calip, Gregory S
Chair
Calip, Gregory S
Department
Pharmacy Systems, Outcomes and Policy
Degree Grantor
University of Illinois at Chicago
Degree Level
Doctoral
Degree name
PhD, Doctor of Philosophy
Committee Member
Lee, Todd A
Nutescu, Edith A
Han, Jin
Sweiss, Karen
Chiu, Brian