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Bayesian assessment of sample size for clinical trials of cost-effectiveness
1Statistical Services Unit, University of Sheffield, United Kingdom. a.ohagan@sheffield.ac.uk
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.