Jackson, C.H., Baio, G., Heath, A. et al. (3 more authors) (2022) Value of information analysis in models to inform health policy. Annual Review of Statistics and Its Application, 9. pp. 95-118. ISSN 2326-8298
Abstract
Value of information (VoI) is a decision-theoretic approach to estimating the expected benefits from collecting further information of different kinds, in scientific problems based on combining one or more sources of data. VoI methods can assess the sensitivity of models to different sources of uncertainty and help to set priorities for further data collection. They have been widely applied in healthcare policy making, but the ideas are general to a range of evidence synthesis and decision problems. This article gives a broad overview of VoI methods, explaining the principles behind them, the range of problems that can be tackled with them, and how they can be implemented, and discusses the ongoing challenges in the area.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 Annual Reviews. |
Keywords: | decision theory; evidence synthesis; health economics; Bayesian; sensitivity analysis; design |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Health and Related Research (Sheffield) > ScHARR - Sheffield Centre for Health and Related Research |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 20 Aug 2021 10:03 |
Last Modified: | 04 Apr 2022 16:32 |
Status: | Published |
Publisher: | Annual Reviews |
Refereed: | Yes |
Identification Number: | 10.1146/annurev-statistics-040120-010730 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:176901 |