meta-regression

Meta-Analysis with robust variance estimation: Expanding the range of working models

In prevention science and related fields, large meta-analyses are common, and these analyses often involve dependent effect size estimates. Robust variance estimation (RVE) methods provide a way to include all dependent effect sizes in a single …

Current practices in meta-regression in psychology, education, and medicine

Having surveyed the history and methods of meta‐regression in a previous paper,1 in this paper we review which and how meta‐regression methods are applied in recent research syntheses. To do so, we reviewed studies published in 2016 across four …

A history of meta-regression: Technical, conceptual, and practical developments between 1974 and 2018

At the beginning of the development of meta‐analysis, understanding the role of moderators was given the highest priority, with meta‐regression provided as a method for achieving this goal. Yet in current practice, meta‐regression is not as commonly …

wildmeta

Cluster-wild bootstrap for meta-regression

Small-sample adjustments for tests of moderators and model fit using robust variance estimation in meta-regression

Meta-analyses often include studies that report multiple effect sizes based on a common pool of subjects or that report effect sizes from several samples that were treated with very similar research protocols. The inclusion of such studies introduces …