Join us for our upcoming Lunch-time Research Seminar DATE: Thursday, March 9th TIME: 12:15 – 1:45pm ROOM: 4E26 of SSW Bldg. 525 W. Redwood Street, Baltimore, MD 21201 **Pizza and refreshments will be provided** please RSVP by 3/7 to email@example.com Presentation Topic: Decision-Analytic Modeling: Pharmacoeconomics and Beyond Presenter: Dr. Julia Slejko Assistant Professor Pharmaceutical Health Services Research Dr. Slejko’s research is focused on innovative approaches for decision-analytic modeling for economic and health outcomes assessments. She has applied these methods to modeling medication adherence and translating pharmacometric findings to cost-effectiveness analyses. She holds a BA in Molecular, Cellular and Developmental Biology from the University of Colorado Boulder. Her PhD training at the University of Colorado School of Pharmacy Center for Pharmaceutical Outcomes Research was focused on pharmacoeconomics. Her postdoctoral training was completed at the Pharmaceutical Outcomes Research and Policy Program in the University of Washington School of Pharmacy. Prior to her PhD training, she had a seven-year career in drug discovery at Array BioPharma in Boulder, CO. Dr. Slejko is very active in the International Society for Pharmacoeconomics and Outcomes Research (ISPOR) and maintains close connections with industry and academic partners alike. Abstract: Economic evaluations of new drugs and technologies often rely on decision-analytic modeling for their ability to simulate a clinical scenario when there is a dearth of observable evidence. This methodology is particularly useful for combining evidence from randomized controlled trials (RCTs) and retrospective studies. Such modeling techniques can be used beyond traditional pharmacoeconomic analysis. For example, clinical scenarios can be simulated beyond the length of follow up in order to examine potential longer-term outcomes. Such scenarios may involve interventions that are not pharmaceutical based. This seminar will provide an introduction to modeling methods typically used for health economic analysis. This introduction will be followed with specific modeling examples in pharmacoeconomic research as well as an application for mental health services research. Please see the attached pre-reading for your information. We look forward to seeing you there.