2002Unpublished venueRequires access

A Bayesian Approach to Meta‐Analysis

Anne Whitehead

Open publisher page 4 citations

Abstract

This chapter contains sections titled: Introduction A Bayesian Approach to the Random Effects Model for Study Estimates Choice of the Prior Distribution Implementation Using the BUGS Software Bayesian Meta-regression A Bayesian Random Effects Model Based on Individual Patient Data Incorporating Data from Other Treatment Comparisons An Empirical Prior Distribution for the Heterogeneity Parameter

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What this paper is about

This chapter contains sections titled: Introduction A Bayesian Approach to the Random Effects Model for Study Estimates Choice of the Prior Distribution Implementation Using the BUGS Software Bayesian Meta-regression A Bayesian Random Effects Model Based on Individual Patient Data Incorporating Data from Other Treatment Comparisons An Empirical Prior Distribution for the Heterogeneity Parameter

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OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This chapter contains sections titled: Introduction A Bayesian Approach to the Random Effects Model for Study Estimates Choice of the Prior Distribution Implementation Using the BUGS Software Bayesian Meta-regression A Bayesian Random Effects Model Based on Individual Patient Data Incorporating Data from Other Treatment Comparisons An Empirical Prior Distribution for the Heterogeneity Parameter

Key concepts: Bayesian probability, Bayesian linear regression, Random effects model, Computer science, Bayesian average, Bayesian statistics, Bayesian hierarchical modeling, Statistics

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