10 citations · 10 across the 3 of their papers we have counts for
3 papers
stat.AP2026
Beyond Publication-Bias Detection: Estimating Bias under Uncertainty in Heterogeneous Literatures
Ulrich Schimmack
Meta-analysts routinely test for publication bias, but a nonsignificant test is inconclusive because it may be a Type 2 error. In a large factorial simulation, I show that publicat…
stat.ME2025
Z-Curve Plot: A Visual Diagnostic for Publication Bias in Meta-Analysis
František Bartoš, Ulrich Schimmack
Publication bias undermines meta-analytic inference, yet visual diagnostics for detecting and understanding model misfit due to publication bias are lacking. We propose the z-plot,…
stat.AP2023★ 10 cited
Estimating the false discovery risk of (randomized) clinical trials in medical journals based on published p-values
Ulrich Schimmack, František Bartoš
The influential claim that most published results are false raised concerns about the trustworthiness and integrity of science. Since then, there have been numerous attempts to exa…