Using Copulas for Bayesian Meta-analysis

Savita Jain (), Suresh K. Sharma () and Kanchan Jain ()
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Savita Jain: Panjab University
Suresh K. Sharma: Panjab University
Kanchan Jain: Panjab University

Statistics in Biosciences, 2022, vol. 14, issue 1, No 2, 23-41

Abstract: Abstract Specific bivariate classes of distributions with given marginals can be used for contribution of the linking distribution between conditional and unconditional effectiveness using copulas. In this paper, a Bayesian model is proposed for meta-analysis of treatment effectiveness data which are generally discrete Binomial and sparse. A bivariate class of priors is imposed to accommodate a wide range of heterogeneity between the multicenter clinical trials involved in the study. Applications to real data are provided.

Keywords: Meta-Analysis; Copula; Frechet Class; Uniform Prior; Jeffrey’s Prior; Linking Distribution (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s12561-021-09312-8

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