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Using Bayesian Meta-Regression to Advance Prevention Science Research: an Introduction and Empirical Illustration
Christopher G Thompson1, Brandie Semma2, Naike Wang2
1Department of Educational Psychology, Texas A&M University, College Station, TX, 77840, USA. cgthompson@tamu.edu.
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.
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