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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

Bayes Factor Group Sequential Designs

Samuel Pawel, Leonhard Held

The Bayes factor, the data-based updating factor from prior to posterior odds, is a principled measure of relative evidence for two competing hypotheses. It is naturally suited to…

stat.ME2026

Stabilizing Thompson Sampling with Null Hypothesis Bayesian Response-Adaptive Randomization

Samuel Pawel, Leonhard Held

Response-adaptive randomization (RAR) methods can be used to adapt randomization probabilities based on accumulating data, aiming to increase the probability of allocating patients…

stat.ME2026

Mixture priors for replication studies

Roberto Macrì-Demartino, Leonardo Egidi, Leonhard Held +1

Replication of scientific studies is important for assessing the credibility of their results. However, there is no consensus on how to quantify the extent to which a replication s…

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…