title: Bayesian assessment of sample size for clinical trials of cost-effectiveness.
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.
authors.affiliation: Statistical Services Unit, University of Sheffield, United Kingdom. a.ohagan@sheffield.ac.uk
authors.forename: A
authors.initials: A
authors.lastname: O'Hagan
authors.forename: J W
authors.initials: JW
authors.lastname: Stevens
mesh_terms: D001499:Bayes Theorem; D002986:Clinical Trials as Topic / Q000706:statistics & numerical data*; D003362:Cost-Benefit Analysis / Q000706:statistics & numerical data*; D017850:Economics, Pharmaceutical; D006801:Humans; D012107:Research Design; D018401:Sample Size