A Bayesian Method for Synthesizing Evidence: The Confidence Profile Method
- 1 January 1990
- journal article
- Published by Cambridge University Press (CUP) in International Journal of Technology Assessment in Health Care
- Vol. 6 (1) , 31-55
- https://doi.org/10.1017/s0266462300008928
Abstract
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.Keywords
This publication has 10 references indexed in Scilit:
- Optimal Statistical DecisionsPublished by Wiley ,2004
- Some Statistical Methods for Combining Experimental ResultsInternational Journal of Technology Assessment in Health Care, 1990
- The Confidence Profile Method: A Bayesian Method for Assessing Health TechnologiesOperations Research, 1989
- The value of mammography screening in women under age 50 yearsJAMA, 1988
- The likelihood principlePublished by Institute of Mathematical Statistics ,1988
- Statistical Decision Theory and Bayesian AnalysisPublished by Springer Nature ,1985
- Modeling the Ames testMutation Research/Environmental Mutagenesis and Related Subjects, 1981
- On the Elimination of Nuisance ParametersJournal of the American Statistical Association, 1977
- On the Elimination of Nuisance ParametersJournal of the American Statistical Association, 1977