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Course Director: Jeremy D. Goldhaber-Fiebert, PhD, Centers for Health Policy and Primary Care and Outcomes Research, Stanford University, USA
- Anna Heath, PhD, The Hospital for Sick Children, Toronto, ON, Canada, Canada
- Natalia Kunst, PhD, University of Oslo/Norwegian Directorate of Health, Norway
Course Description and Objectives:
Value of information (VOI) is a key concept in decision analysis that can be used to determine research priorities, inform resource allocation for potential further research and design proposed research studies. This course will introduce the general concepts behind VOI, present several key VOI measures and highlight where they can be most useful in directing future research. It will also demonstrate key graphical presentations of these measures and critically evaluate VOI analyses and their underlying assumptions. The purpose of this course is to introduce VOI measures and their use in decision modelling. The course will introduce these measures, discuss their presentation and assumptions.
By the end of the course, participants will be able to:
- Interpret the Expected Value of Perfect Information (EVPI)
- Interpret the Expected Value of Perfect Partial Information (EVPPI)
- Interpret the Expected Value of Sample Information (EVSI)
- Interpret the Expected Net Benefit of Sampling (ENBS)
- Discuss key assumptions that impact a VOI analysis