Using Bayesian Meta-Regression to Advance Prevention Science Research: an Introduction and Empirical Illustration. Academic Article uri icon


  • Driven by the movement of evidence-based practices, Bayesian statistical methods have become increasingly popular. This paper introduces a Bayesian approach to meta-regression, focusing on the use and implementation in prevention science research. We first compare Bayesian meta-analysis and meta-regression to a frequentist approach. Thereafter, we illustrate Bayesian methods in meta-regression, highlighting advantages, providing detailed interpretation, and presenting results. The example is completed using several R packages. We also provide annotated R code for readers as a foundation for their own research.

published proceedings

  • Prev Sci

altmetric score

  • 0.5

author list (cited authors)

  • Thompson, C. G., Semma, B., Wang, N., & Ettekal, I.

citation count

  • 3

complete list of authors

  • Thompson, Christopher G||Semma, Brandie||Wang, Naike||Ettekal, Idean

publication date

  • April 2022