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Bayesian meta-analysis of correlation coefficients through power prior

Author

Listed:
  • Zhiyong Zhang
  • Kaifeng Jiang
  • Haiyan Liu
  • In-Sue Oh

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.

Suggested Citation

  • Zhiyong Zhang & Kaifeng Jiang & Haiyan Liu & In-Sue Oh, 2017. "Bayesian meta-analysis of correlation coefficients through power prior," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 46(24), pages 11988-12007, December.
    • Handle: RePEc:taf:lstaxx:v:46:y:2017:i:24:p:11988-12007
    DOI: 10.1080/03610926.2017.1288251
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