Kunst, N., Wilson, E.C.F., Glynn, D. et al. (11 more authors) (2020) Computing the expected value of sample information efficiently: practical guidance and recommendations for four model-based methods. Value in Health, 23 (6). pp. 734-742. ISSN 1098-3015
Abstract
Value of information (VOI) analyses can help policy makers make informed decisions about whether to conduct and how to design future studies. Historically a computationally expensive method to compute the expected value of sample information (EVSI) restricted the use of VOI to simple decision models and study designs. Recently, 4 EVSI approximation methods have made such analyses more feasible and accessible. Members of the Collaborative Network for Value of Information (ConVOI) compared the inputs, the analyst’s expertise and skills, and the software required for the 4 recently developed EVSI approximation methods. Our report provides practical guidance and recommendations to help inform the choice between the 4 efficient EVSI estimation methods. More specifically, this report provides: (1) a step-by-step guide to the methods’ use, (2) the expertise and skills required to implement the methods, and (3) method recommendations based on the features of decision-analytic problems.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020, ISPOR–The Professional Society for Health Economics and Outcomes Research. Published by Elsevier Inc. This is an author produced version of a paper subsequently published in Value in Health. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
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: | 04 Jun 2020 14:57 |
Last Modified: | 12 Nov 2021 15:09 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.jval.2020.02.010 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:161599 |
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Filename: Accepted_version_Practical_Consideration_for_EVSI.pdf
Licence: CC-BY-NC-ND 4.0