Prev Sci. 2022 Mar 22. doi: 10.1007/s11121-021-01330-8. Online ahead of print.
ABSTRACT
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.
PMID:35316455 | DOI:10.1007/s11121-021-01330-8
