Like any statistical technique, meta-regression comes with its assumptions and limitations: - Assumptions: The relationship between moderators and effect sizes is linear (if using linear regression), and the studies included are sufficiently similar to be combined. - Limitations: Meta-regression can be sensitive to outliers and may suffer from publication bias. Additionally, it requires a sufficient number of studies to provide reliable estimates.
