July 26, 2022 - July 27, 2022
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Introduction to Modeling Methods (Virtual)
LEVEL: Introductory
TRACK: Methodological & Statistical Research
LENGTH: 4 Hours | Course runs 2 consecutive days, 2 hours each day
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10:00AM–12:00PM Eastern Daylight Time (EDT)
14:00PM–16:00PM Coordinated Universal Time (UTC)
Wednesday, 27 July 2022 | Course runs 2 consecutive days, 2 hours per day
10:00AM–12:00PM Eastern Daylight Time (EDT)
14:00PM–16:00PM Coordinated Universal Time (UTC)
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DESCRIPTION
The purpose of this course is to introduce the basic methods of decision modeling for health care applications. The course will introduce several of the common methods available, and provide more detailed introductions to basic decision analysis, the use of sensitivity analysis, and how to interpret decision model outputs. The importance of data sources for calibrating models, the incorporation of multiple outcomes such as quality of life and costs will be presented, and state-transition (Markov) models, structures used to represent events over time, will be presented. Throughout the course, the recommendations of the joint SMDM/ISPOR Modeling Methods Good Research Practices recommendations will be reviewed. This course is designed for those with some familiarity with modeling techniques.
Mark S. Roberts, MPP, MD
Distinguished Professor, Department of Health Policy and Management
Director, Public Health Dynamics Laboratory
University of Pittsburgh School of Public Health
Professor of Medicine, Industrial Engineering
Business Administration and Clinical and Translational Science
Pittsburgh, PA, USA
Basic Schedule:
4 Hours | Course runs 2 consecutive days, 2 hours each day