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An introduction to a Bayesian method for meta-analysis: The confidence profile method.

D M Eddy·V Hasselblad·R Shachter
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Abstract

The Confidence Profile Method is a new Bayesian method that can be used to assess technologies where the available evidence involves a variety of experimental designs, types of outcomes, and effect measures; a variety of biases; combinations of biases and nested bases; uncertainty about biases; an underlying variability in the parameter of interest; indirect evidence; and technology families. The result of an analysis with the Confidence Profile Method is a posterior distribution for the parameter of interest, posterior distributions for other parameters, and a covariance matrix for all the parameters in the model. The posterior distributions incorporate all the uncertainty the assessor chooses to describe about any of the parameters used in the analysis.

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Bayes TheoremHumansLikelihood FunctionsMeta-Analysis as TopicMethodsModels, StatisticalProbabilityRandomized Controlled Trials as TopicResearch DesignSelection BiasClinical TrialJournal ArticleRandomized Controlled TrialResearch Support, Non-U.S. Gov't

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D M Eddy, V Hasselblad, R Shachter. An introduction to a Bayesian method for meta-analysis: The confidence profile method.. https://doi.org/10.1177/0272989x9001000104

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