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A Bayesian Method for Synthesizing Evidence: The Confidence Profile Method

Published online by Cambridge University Press:  10 March 2009

David M. Eddy ,
Vic Hasselblad  and
Ross Shachter
David M. Eddy
Affiliation:
Duke University
Vic Hasselblad
Affiliation:
Duke University
Ross Shachter
Affiliation:
Duke University
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Extract

This article describes a collection of meta-analysis techniques based on Bayesian statistics for interpreting, adjusting, and combining evidence to estimate parameters and outcomes important to the assessment of health technologies. The result of an analysis by the Confidence Profile Method is a joint posterior probability distribution for the parameters of interest, from which marginal distributions for any particular parameter can be calculated. The method can be used to analyze problems involving a variety of types of outcomes, a variety of measures of effect, and a variety of experimental designs. This article presents the elements necessary for analysis, including prior distributions, likelihood functions, and specific models for experimental designs that include adjustment for biases.

Type
Special Section: Alternative Methods for Assessing Technology, Part II
Information
International Journal of Technology Assessment in Health Care , Volume 6 , Issue 1 , January 1990 , pp. 31 - 55
Copyright
Copyright © Cambridge University Press 1990

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