Heath, A., Strong, M. orcid.org/0000-0003-1486-8233, Glynn, D. et al. (3 more authors) (2022) Simulating study data to support expected value of sample information calculations : a tutorial. Medical Decision Making, 42 (2). pp. 143-155. ISSN 0272-989X
Abstract
The Expected Value of Sample Information (EVSI) can be used to prioritise avenues for future research and design studies that support medical decision making and offer value for money spent. EVSI is calculated based on three key elements. Two of these, a probabilistic model-based economic evaluation and updating model uncertainty based on simulated data, have been frequently discussed in the literature. By contrast, the third element, simulating data from the proposed studies, has received little attention. This tutorial contributes to bridging this gap by providing a step-by-step guide to simulating study data for EVSI calculations. We discuss a general purpose algorithm for simulating data and demonstrate its use to simulate three different outcome types. We then discuss how to induce correlations in the generated data, how to adjust for common issues in study implementation such as missingness and censoring and how individual patient data from previous studies can be leveraged to undertake EVSI calculations. For all examples, we provide comprehensive code written in the R language and, where possible, Excel spreadsheets in the supplementary materials. This tutorial facilitates practical EVSI calculations and allows EVSI to be used to prioritise research and design studies.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 The Authors. This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
Keywords: | expected value of sample information; R tutorial; research design methods; simulation methods; value of information |
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: | 08 Jun 2021 09:12 |
Last Modified: | 10 Mar 2022 09:56 |
Status: | Published |
Publisher: | SAGE Publications |
Refereed: | Yes |
Identification Number: | 10.1177/0272989X211026292 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:174666 |