Stevens, J.W. and O'Hagan, A. (2002) Incorporation of genuine prior information in cost-effectiveness analysis of clinical trial data. International Journal of Technology Assessment in Health Care, 18 (4). pp. 782-790. ISSN 0266-4623Full text available as:
The Bayesian approach to statistics has been growing rapidly in popularity as an alternative to the frequentist approach in the appraisal of heathcare technologies in clinical trials. Bayesian methods have significant advantages over classical frequentist statistical methods and the presentation of evidence to decision makers. A fundamental feature of a Bayesian analysis is the use of prior information as well as the clinical trial data in the final analysis.
However, the incorporation of prior information remains a controversial subject that provides a potential barrier to the acceptance of practical uses of Bayesian methods. The pur pose of this paper is to stimulate a debate on the use of prior information in evidence submitted to decision makers. We discuss the advantages of incorporating genuine prior information in cost-effectiveness analyses of clinical trial data and explore mechanisms to safeguard scientific rigor in the use of such prior information.
|Copyright, Publisher and Additional Information:||© 2002 Cambridge University Press. Reproduced in accordance with the publisher's self-archiving policy.|
|Institution:||The University of Sheffield|
|Academic Units:||The University of Sheffield > Faculty of Science (Sheffield) > School of Mathematics and Statistics (Sheffield)|
|Depositing User:||Repository Assistant|
|Date Deposited:||12 Sep 2006|
|Last Modified:||17 Nov 2014 23:36|
|Publisher:||Cambridge University Press|