8 papers
On "Confirmatory" Methodological Research in Statistics and Related Fields
F. J. D. Lange, Juliane C. Wilcke, Sabine Hoffmann +2
Empirical substantive research, such as in the life or social sciences, is commonly categorized into the two modes exploratory and confirmatory, both of which are essential to scie…
Statistical parametric simulation studies based on real data
Christina Sauer, F. Julian D. Lange, Maria Thurow +2
Simulation studies are indispensable for evaluating statistical methods and ubiquitous in statistical research. The most common simulation approach is parametric simulation, where…
Rethinking the handling of method failure in comparison studies
Milena Wünsch, Moritz Herrmann, Elisa Noltenius +3
Comparison studies in methodological research are intended to compare methods in an evidence-based manner to help data analysts select a suitable method for their application. To p…
Beyond algorithm hyperparameters: on preprocessing hyperparameters and associated pitfalls in machine learning applications
Christina Sauer, Anne-Laure Boulesteix, Luzia HanÃum +3
Adequately generating and evaluating prediction models based on supervised machine learning (ML) is often challenging, especially for less experienced users in applied research are…
The impact of the storytelling fallacy on real data examples in methodological research
Maximilian M. Mandl, Frank Weber, Tobias Wöhrle +1
The term "researcher degrees of freedom" (RDF), which was introduced in metascientific literature in the context of the replication crisis in science, refers to the extent of flexi…
Outlier Detection in Mendelian Randomisation
Maximilian M Mandl, Anne-Laure Boulesteix, Stephen Burgess +1
Mendelian Randomisation (MR) uses genetic variants as instrumental variables to infer causal effects of exposures on an outcome. One key assumption of MR is that the genetic varian…