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Efficient Value of Information Calculation: An Applied Perspective

Posted by Haitham Tuffaha on 5 April 2016

In a study between the Centre for Applied Health Economics (CAHE) and the School of Health and Related Research (ScHARR) at the University of Sheffield, Haitham Tuffaha and co-authors applied a nonparametric regression approach to calculate value of information in economic models. The study demonstrated the value of nonparametric regression as an accurate, practical, and fast approach to calculate the expected value of sample information (EVSI), which is a useful measure to inform adoption decisions, optimise trial design and set research priority. The study has been published in Value in Health.

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Author: Haitham Tuffaha
About: Haitham Tuffaha has been a Research Fellow at CAHE, Griffith University, Australia since late 2015. He qualified as a clinical pharmacist and has over 10 years’ experience in pharmaceutical care, oncology, and medicines management.
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Tags: Health Policy

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