TITLE

Bayesian methods for design and analysis of cost-effectiveness trials in the evaluation of health care technologies

AUTHOR(S)
O'Hagan, A; Stevens, J W
PUB. DATE
December 2002
SOURCE
Statistical Methods in Medical Research;Dec2002, Vol. 11 Issue 6, p469
SOURCE TYPE
Academic Journal
DOC. TYPE
journal article
ABSTRACT
We review the development of Bayesian statistical methods for the design and analysis of randomized 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.
ACCESSION #
8906404

 

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