1 citations · 2 across the 4 of their papers we have counts for
4 papers
Single-Dataset Meta-Analysis For Many-Analysts And Multiverse Studies
František Bartoš, Suzanne Hoogeveen, Alexandra Sarafoglou +1
Empirical claims often rely on one population, design, and analysis. Many-analysts, multiverse, and robustness studies expose how results can vary across plausible analytic choices…
Living Synthetic Benchmarks: A Neutral and Cumulative Framework for Simulation Studies
František Bartoš, Samuel Pawel, Björn S. Siepe
Simulation studies are widely used to evaluate statistical methods. However, new methods are often introduced and evaluated using data-generating mechanisms (DGMs) devised by the s…
Handling Missingness, Failures, and Non-Convergence in Simulation Studies: A Review of Current Practices and Recommendations
Samuel Pawel, František Bartoš, Björn S. Siepe +1
Simulation studies are commonly used in methodological research for the empirical evaluation of data analysis methods. They generate artificial data sets under specified mechanisms…
A Bayes Factor Framework for Unified Parameter Estimation and Hypothesis Testing
Samuel Pawel
The Bayes factor, the data-based updating factor of the prior to posterior odds of two hypotheses, is a natural measure of statistical evidence for one hypothesis over the other. W…