Jackson, CH;
Baio, G;
Heath, A;
Strong, M;
Welton, NJ;
Wilson, ECF;
(2022)
Value of Information Analysis in Models to Inform Health Policy.
Annual Review of Statistics and Its Application
, 9
(2022)
10.1146/annurev-statistics-040120-010730.
(In press).
Text
voi_review_revision.pdf - Accepted Version Access restricted to UCL open access staff Download (1MB) |
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. Expected final online publication date for the Annual Review of Statistics, Volume 9 is March 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
Type: | Article |
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Title: | Value of Information Analysis in Models to Inform Health Policy |
Location: | United States |
DOI: | 10.1146/annurev-statistics-040120-010730 |
Publisher version: | https://doi.org/10.1146/annurev-statistics-040120-... |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10136834 |
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