Bayesian meta-analysis of correlation coefficients through power prior

Zhiyong Zhang, Kaifeng Jiang, Haiyan Liu and In-Sue Oh

Communications in Statistics - Theory and Methods, 2017, vol. 46, issue 24, 11988-12007

Abstract: This article proposes a Bayesian approach for meta-analysis of correlation coefficients through power prior. The primary purpose of this method is to allow meta-analytic researchers to evaluate the contribution and influence of each individual study to the estimated overall effect size though power prior. We use the relationship between high-performance work systems and financial performance as an example to illustrate how to apply this method. We also introduce free online software that can be used to conduct Bayesian meta-analysis proposed in this study. Implications and future directions are also discussed in this article.

Date: 2017
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DOI: 10.1080/03610926.2017.1288251

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