Bayesian Assessment of Sample Size for Clinical Trials of Cost-Effectiveness

Anthony O’Hagan and John W. Stevens
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Anthony O’Hagan: University of Sheffield, United Kingdom
John W. Stevens: AstraZeneca R&!D Charnwood, United Kingdom

Medical Decision Making, 2001, vol. 21, issue 3, 219-230

Abstract: The authors present an analysis of the choice of sample sizes for demonstrating cost-effectiveness of a new treatment or procedure, when data on both cost and efficacy will be collected in a clinical trial. The Bayesian approach to statistics is employed, as well as a novel Bayesian criterion that provides insight into the sample size problem and offers a very flexible formulation.

Keywords: Bayesian statistics; cost-effectiveness; experimental design; net benefits; pharmacoeconomics; sample size (search for similar items in EconPapers)
Date: 2001
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Citations: View citations in EconPapers (18)

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Persistent link: https://EconPapers.repec.org/RePEc:sae:medema:v:21:y:2001:i:3:p:219-230

DOI: 10.1177/0272989X0102100307

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