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An Efficient Estimator for the Expected Value of Sample Information.

Authors
  • Menzies, Nicolas A1
  • 1 Department of Global Health and Population and the Center for Health Decision Science, Harvard University, Boston, MA (NAM) [email protected]
Type
Published Article
Journal
Medical decision making : an international journal of the Society for Medical Decision Making
Publication Date
April 2016
Volume
36
Issue
3
Pages
308–320
Identifiers
DOI: 10.1177/0272989X15583495
PMID: 25911600
Source
Medline
Keywords
License
Unknown

Abstract

The proposed algorithms remove two major challenges for estimating EVSI--the difficulty of estimating the posterior parameter distribution given hypothetical study data and the need for many model evaluations to obtain stable and unbiased results. These approaches make EVSI estimation feasible for a wide range of analytic scenarios.

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