27 July 2021 - 28 July 2021
Advanced Decision Modeling for Health Economic Evaluations
LEVEL - Advanced
TRACK - Methodological & Statistical Research
LENGTH: 4 Hours | Course runs 2 consecutive days, 2 hours each day
PREREQUISITE: Previous attendance at the short course “Modeling: Design and Structure of a Model,” or equivalent knowledge, is required.
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9:00AM-11:00AM (EDT) Eastern Daylight Time
14:00-16:00 (UTC/GMT) Coordinated Universal Time
15:00-17:00 (CEST) Central European Summer Time
Wednesday 28 July, 2021 | Course runs 2 consecutive days, 2 hours per day
9:00AM-11:00AM (EDT) Eastern Daylight Time
14:00-16:00 (UTC/GMT) Coordinated Universal Time
15:00-17:00 (CEST) Central European Summer Time
Click for time zone conversion
DESCRIPTION
During this course, the key aspects and new developments of decision modeling for economic analysis will be considered. How models can be made probabilistic to capture parameter uncertainty (including rationale, choosing parameter distributions, and types of uncertainty) will be covered. How to analyze and present the results of probabilistic models, how the results of probabilistic decision modeling should be interpreted, and how decisions should be made (including decisions with uncertainty and expected value of perfect information [EVPI]) will be presented. Specific examples using Excel programming will be used to illustrate concepts. Participants should have an understanding of decision analysis.
FACULTY MEMBERS
Mark Sculpher, PhD, MSc
Professor
University of York, Centre for Health Economics
Heslington, York, UK
Andrew Briggs, DPhil
Professor of Health Economics
London School of Hygiene & Tropical Medicine
London, UK
Basic Schedule:
2 hours of content daily