3 papers
stat.CO2026
Meta-analysis with the glmmTMB R package
Coralie Williams, Maeve McGillycuddy, Mollie Brooks +6
Meta-analytical models are typically formulated as a mixed-effects model where the sampling variances of the effect sizes are treated as known. In principle, such models could be f…
stat.OT2026
Distributional regression models for meta-analysis
Yefeng Yang, Shinichi Nakagawa
Meta-analyses are regarded as the highest level in the hierarchy of evidence, yet standard models traditionally concentrated on estimating the mean effect size, often under restric…
stat.ME2025
Mastering an Accurate and Generalizable Simulation-Based Method to Obtain Bias-corrected Point Estimates and Sampling Variance for Any Effect Sizes
Shinichi Nakagawa, Ayumi Mizuno, Coralie Williams +7
Meta-analyses require an effect-size estimate and its corresponding sampling variance from primary studies. In some cases, estimators for the sampling variance of a given effect si…