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

Journal Article

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.

Full Text

Duke Authors

Cited Authors

  • Eddy, DM; Hasselblad, V; Shachter, R

Published Date

  • January 1990

Published In

Volume / Issue

  • 10 / 1

Start / End Page

  • 15 - 23

PubMed ID

  • 2182960

International Standard Serial Number (ISSN)

  • 0272-989X

Digital Object Identifier (DOI)

  • 10.1177/0272989X9001000104

Language

  • eng

Conference Location

  • United States