A new approach for sample size calculation in cost-effectiveness studies based on value of information.

ABSTRACT:

Background

Value of information is now recognized as a reference method in the decision process underpinning cost-effectiveness evaluation. The expected value of perfect information (EVPI) is the expected value from completely reducing the uncertainty surrounding the cost-effectiveness of an innovative intervention. Among sample size calculation methods used in cost-effectiveness studies, only one is coherent with this decision framework. It uses a Bayesian approach and requires data of a pre-existing cost-effectiveness study to derive a valid prior EVPI. When evaluating the cost-effectiveness of innovations, no observed prior EVPI is usually available to calculate the sample size. We here propose a sample size calculation method for cost-effectiveness studies, that follows the val

SUBMITTER: Bader C 

PROVIDER: S-EPMC6198488 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature