1 citations · 1 across the 5 of their papers we have counts for
5 papers
Statistical methods for assessing non-replicable, outlying, and influential studies
Yefeng Yang, Shinichi Nakagawa
Quantitative evidence synthesis method has become a central tool for integration of findings across multiple studies, multi-centre trials, and multi-source cohort data. However, th…
Meta-analysis with the glmmTMB R package
Coralie Williams, Maeve McGillycuddy, Mollie Brooks +6
Two common formulations of meta-analytical models include the standard two-stage normal-normal models, which synthesise estimated effect sizes, and the one-stage generalised linear…
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…
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…
Enriching meta-analyses through scoping review, bibliometrics, and alternative impact metrics: Visualizing study characteristics, hidden risk of bias, societal influence, and research translation
Yefeng Yang, Malgorzata Lagisz, Shinichi Nakagawa
We present a framework consisting of three approaches that can enhance meta-analyses: 1) scoping reviews (evidence map), 2) bibliometrics, and 3) alternative impact metrics. These…