activity
20212026
most citedNormalized power priors always discount historical data

15 citations · 63 across the 20 of their papers we have counts for

collaborators
Showing 2022Show all

6 papers · 1 filter

stat.ME2022★ 14 cited

Bayesian Approaches to Designing Replication Studies

Samuel Pawel, Guido Consonni, Leonhard Held

Replication studies are essential for assessing the credibility of claims from original studies. A critical aspect of designing replication studies is determining their sample size…

stat.ME2022★ 3 cited

Comparing Confidence Intervals for a Binomial Proportion with the Interval Score

Lisa J. Hofer, Leonhard Held

There are over 55 different ways to construct a confidence respectively credible interval (CI) for the binomial proportion. Methods to compare them are necessary to decide which sh…

stat.ME2022★ 11 cited

Power priors for replication studies

Samuel Pawel, Frederik Aust, Leonhard Held +1

The ongoing replication crisis in science has increased interest in the methodology of replication studies. We propose a novel Bayesian analysis approach using power priors: The li…

stat.ME2022★ 12 cited

Assessing replicability with the sceptical p-value: Type-I error control and sample size planning

Charlotte Micheloud, Fadoua Balabdaoui, Leonhard Held

We study a statistical framework for replicability based on a recently proposed quantitative measure of replication success, the sceptical -value. A recalibration is proposed to…

stat.ME2022★ 15 cited

Normalized power priors always discount historical data

Samuel Pawel, Frederik Aust, Leonhard Held +1

Power priors are used for incorporating historical data in Bayesian analyses by taking the likelihood of the historical data raised to the power as the prior distribution for t…

stat.ME2022★ 3 cited

The replication of equivalence studies

Charlotte Micheloud, Leonhard Held

Replication studies are increasingly conducted to assess the credibility of scientific findings. Most of these replication attempts target studies with a superiority design, but th…