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Department seminar by Emiliano Valdez, University of ConnecticutExport this event to calendar

Friday, March 6, 2020 — 10:30 AM EST

Please note: This seminar has been cancelled.

 

Analysis of Prescription Drug Utilization with Beta Regression Models

 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 paper, we examine and demonstrate the use of Beta regression models to study the utilization of brand name drugs in the U.S. in order to understand variability of brand name drug utilization across different areas. 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. The numerical results show that Beta regression models are able to fit the brand name drug claim rates well and including spatial dependence improves the performance of the Beta regression models. 

This is joint work with Professor Guojun Gan, University of Connecticut.
Location 
M3 - Mathematics 3
Room: 3127
200 University Avenue West

Waterloo, ON N2L 3G1
Canada

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