Contribution of Informed Reference Prior Using Primary and Summary Measure Data in Bayesian Meta-Analysis

Authors

  • Most Sifat Muntaha Soni Department of Statistics, Biostatistics and Informatics, Dhaka University, Dhaka ? 1000
  • Md Belal Hossain Department of Statistics, Biostatistics and Informatics, Dhaka University, Dhaka ? 1000

DOI:

https://doi.org/10.3329/dujs.v63i2.24433

Keywords:

Informed reference prior, between-study heterogeneity, primary outcome, summary measure, Bayesian meta-analysis.

Abstract

When meta-analysis includes a small number of trials, inferences are sensitive to the choice of prior distributions for between-study heterogeneity. The common practice is to use vague prior but inferences depend on the degree of vagueness. Pullenayegum (2011) proposed an informed reference prior for between-study heterogeneity of binary outcomes. We employ a model for applying this prior for both primary outcome and summary measure data in Bayesian meta-analysis. We have found the same inference using both primary outcome and summary measure data. This study also suggests that the informed reference prior for between-study heterogeneity represents more relevant conclusion as compared to commonly used prior distributions.

Dhaka Univ. J. Sci. 63(2): 61-65, 2015 (July)

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Author Biography

Most Sifat Muntaha Soni, Department of Statistics, Biostatistics and Informatics, Dhaka University, Dhaka ? 1000



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Published

2015-08-20

How to Cite

Soni, M. S. M., & Hossain, M. B. (2015). Contribution of Informed Reference Prior Using Primary and Summary Measure Data in Bayesian Meta-Analysis. Dhaka University Journal of Science, 63(2), 61–65. https://doi.org/10.3329/dujs.v63i2.24433

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Articles