University of Sheffield

Tony O'Hagan - Academic pages - Abstracts


Bayesian Methods for Design and Analysis of Cost-effectiveness Trials in the Evaluation of Health Care Technologies

Anthony O'Hagan and John W. Stevens

Centre for Bayesian Statistics in Health Economics, University of Sheffield, Sheffield, England and Astra Charnwood, Loughborough, England

Publication details: Statistical Methods in Medical Research, 11, 469-490, 2002.


We review the development of Bayesian statistical methods for the design and analysis of randomised controlled trials in the assessment of the cost-effectiveness of health care technologies. We place particular emphasis on the benefits of the Bayesian approach; the implications of skew cost data; the need to model the data appropriately to generate efficient and robust inferences instead of relying on distribution-free methods; the importance of making full use of quantitative and structural prior information to produce realistic inferences; and issues in the determination of sample size. Several new examples are presented to illustrate the methods. We conclude with a discussion of the key areas for future research.

Keywords: Bayesian statistics; cost-effectiveness; health economics; clinical trial; cost-effectiveness acceptability curve; genuine prior information; elicitation; sample size; experimental design.

Return to my publications page.
Updated: 7 January 2003
Maintained by: Tony O'Hagan