From the 1 of 3 linked papers with an AI index.
3 papers
stat.AP2026
Edgington's Combination Method for Two-Study Meta-Analysis: An Empirical Evaluation in 1226 Meta-Analyses
Samuel Pawel, Saverio Fontana, Jinyu Chen +6
The paper empirically evaluates Edgington's p‑value combination method as an alternative for two‑study meta‑analyses, showing it adapts confidence‑interval width without needing ex…
stat.ME2026
Adjusting for Outcome Reporting Bias in Meta-analysis: A Multiple Imputation Approach
Cora Burgwinkel, Saverio Fontana, Leonhard Held
Background: Outcome reporting bias (ORB) occurs when study outcomes are selectively reported based on their results. ORB potentially undermines the credibility and validity of meta…
stat.ME2026
Balancing Evidentiary Value and Sample Size of Adaptive Designs with Application to Animal Experiments
Leonhard Held, Fadoua Balabdaoui, Saverio Fontana +1
Reducing the number of experimental units is one of the three pillars of the 3R principles (Replace, Reduce, Refine) in animal research. At the same time, statistical error rates n…