MCFAM Seminar - Analysis of Prescription Drug Utilization with Beta Regression Models

Speaker: Guojun Gan

Abstract: The healthcare sector in the U.S. is complex and is also a large sector that generates about 20\% of the country's gross domestic product. Healthcare analytics has been used by researchers and practitioners to better understand the industry. In this talk, I will present our recent work about the use of Beta regression models to understand the variability of brand name drug utilization across different areas with the U.S. The models are fitted to public datasets obtained from the Medicare & Medicaid Services and  the Internal Revenue Service. Integrated Nested Laplace Approximation (INLA) is used to perform the inference. Some numerical results showing the performance of Beta regression models will also be presented.