Calculating the Expected Value of Sample Information in Practice: Considerations from 3 Case Studies.

ABSTRACT: Background. Investing efficiently in future research to improve policy decisions is an important goal. Expected value of sample information (EVSI) can be used to select the specific design and sample size of a proposed study by assessing the benefit of a range of different studies. Estimating EVSI with the standard nested Monte Carlo algorithm has a notoriously high computational burden, especially when using a complex decision model or when optimizing over study sample sizes and designs. Recently, several more efficient EVSI approximation methods have been developed. However, these approximation methods have not been compared, and therefore their comparative performance across different examples has not been explored. Methods. We compared 4 EVSI methods using 3 previously pu

SUBMITTER: Heath A 

PROVIDER: S-EPMC7968749 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature