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Bayesian Assessment of Sample Size for Clinical Trials of Cost-Effectiveness
Anthony OHagan
University of Sheffield, United Kingdom
John W. Stevens
AstraZeneca R&!D Charnwood, United Kingdom
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.
Key Words: Bayesian statistics cost-effectiveness experimental design net benefits pharmacoeconomics sample size
Medical Decision Making, Vol. 21, No. 3,
219-230 (2001)
DOI: 10.1177/0272989X0102100307

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