Research Prioritization Two: Advanced Computation of Value of Information Measure to Determine
Description and Objectives:
This course presents computation methods for the Expected Value of Sample Information (EVSI), a decision-theoretic measure of the monetary value of collecting additional information through potential future research. Participants will discuss EVSI and how it can be used to design research studies. The course will then give a demonstration of how to efficiently compute EVSI in practice with accompanying code provided in R.
The purpose of this course is to introduce EVSI as a tool for research prioritization and study design. The course will introduce several recent methods for the calculation of EVSI alongside R code to calculate and present these measures. By the end of the course, participants will be able to:
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Distinguish four recently developed calculation methods for EVSI
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Decide which EVSI calculation method is suitable for a given health economic decision model
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Calculate EVSI in R for two different health economic models
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Present EVSI analyses using standardized, publication-quality graphics
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Discuss key assumptions for calculating the Expected Net Benefit of Sampling (ENBS)
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Design efficient future research studies by determining their optimal sample sizes
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Negin Hajizadeh, MD, MPH
I have been coming to SMDM for the past 11 years and return every year because it’s the only society where research is presented, and training is provided on methods of informing medical decision making across the spectrum.
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MDM offers rigorous and systematic approaches to decision making that are designed to improve the health and clinical care of individuals and to assist with health policy development.