Meta-regression is a statistical technique used in meta-analysis to examine the relationship between study-level variables (moderators) and study outcomes. Essentially, it extends traditional meta-analysis by exploring how different study characteristics influence the effect sizes, thereby providing a more nuanced understanding of the data.
