34 citations · 210 across the 43 of their papers we have counts for
52 papers
How to Simulate Realistic Survival Data? A Simulation Study to Compare Realistic Simulation Models
Maria Thurow, Ina Dormuth, Christina Sauer +2
In statistics, it is important to have realistic data sets available for a particular context to allow an appropriate and objective method comparison. For many use cases, benchmark…
General multiple tests for functional data
Merle Munko, Marc Ditzhaus, Markus Pauly +2
While there exists several inferential methods for analyzing functional data in factorial designs, there is a lack of statistical tests that are valid (i) in general designs, (ii)…
The Self-Perception and Political Biases of ChatGPT
Jérôme Rutinowski, Sven Franke, Jan Endendyk +2
This contribution analyzes the self-perception and political biases of OpenAI's Large Language Model ChatGPT. Taking into account the first small-scale reports and studies that hav…
The impact of neglected confounding and interactions in mixed-effects meta-regression
Eric S. Knop, Markus Pauly, Tim Friede +1
Analysts seldom include interaction terms in meta-regression model, what can introduce bias if an interaction is present. We illustrate this in the current paper by re-analyzing an…
Using meta-analytic priors to incorporate external information for study evaluation
Thilo Welz, Eric Knop, Frank Konietschke +3
Background: The COVID-19 pandemic has had a profound impact on health, everyday life and economics around the world. An important complication that can arise in connection with a C…
Quantile-based MANOVA: A new tool for inferring multivariate data in factorial designs
Marléne Baumeister, Marc Ditzhaus, Markus Pauly
Multivariate analysis-of-variance (MANOVA) is a well established tool to examine multivariate endpoints. While classical approaches depend on restrictive assumptions like normality…