Journal article
Globally optimal trial design for local decision making
Abstract
Value of information methods allows decision makers to identify efficient trial design following a principle of maximizing the expected value to decision makers of information from potential trial designs relative to their expected cost. However, in health technology assessment (HTA) the restrictive assumption has been made that, prospectively, there is only expected value of sample information from research commissioned within jurisdiction. …
Authors
Eckermann S; Willan AR
Journal
Health Economics, Vol. 18, No. 2, pp. 203–216
Publisher
Wiley
Publication Date
February 2009
DOI
10.1002/hec.1353
ISSN
1057-9230
Associated Experts
Fields of Research (FoR)
Medical Subject Headings (MeSH)
AustraliaCost-Benefit AnalysisCross-Cultural ComparisonDecision Making, OrganizationalDiffusion of InnovationFemaleHumansModels, EconomicMulticenter Studies as TopicPregnancyRandomized Controlled Trials as TopicRegional Medical ProgramsResearch Support as TopicSample SizeTechnology Assessment, BiomedicalUnited KingdomUnited StatesVersion, Fetal