92 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Ludwig-Maximilians-Universität MünchenDE9 papers
- Darmstadt University of Applied SciencesDE6 papers
- Munich Center for Machine Learning6 papers
- LMU KlinikumDE3 papers
- University College LondonGB3 papers
- Zimmer Biomet (Netherlands)NL3 papers
- Fraunhofer Institute for Computer Graphics ResearchDE2 papers
- Joint Research CentreNL2 papers
- Medical University of ViennaAT2 papers
- MRC Clinical Trials Unit at UCLGB2 papers
- Ruhr University BochumDE2 papers
- Technical University of MunichDE2 papers
10 papers · 1 filter
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…
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…
Impact of Record-Linkage Errors in Covid-19 Vaccine-Safety Analyses using German Health-Care Data: A Simulation Study
Robin Denz, Katharina Meiszl, Peter Ihle +5
With unprecedented speed, 192,248,678 doses of Covid-19 vaccines were administered in Germany by July 11, 2023 to combat the pandemic. Limitations of clinical trials imply that the…
Phases of methodological research in biostatistics - building the evidence base for new methods
Georg Heinze, Anne-Laure Boulesteix, Michael Kammer +2
Although the biostatistical scientific literature publishes new methods at a very high rate, many of these developments are not trustworthy enough to be adopted by the scientific c…
Explaining the optimistic performance evaluation of newly proposed methods: a cross-design validation experiment
Christina Nießl, Sabine Hoffmann, Theresa Ullmann +1
The constant development of new data analysis methods in many fields of research is accompanied by an increasing awareness that these new methods often perform better in their intr…
Visualizing the (Causal) Effect of a Continuous Variable on a Time-To-Event Outcome
Robin Denz, Nina Timmesfeld
Visualization is a key aspect of communicating the results of any study aiming to estimate causal effects. In studies with time-to-event outcomes, the most popular visualization ap…
Sequential Permutation Testing of Random Forest Variable Importance Measures
Alexander Hapfelmeier, Roman Hornung, Bernhard Haller
Hypothesis testing of random forest (RF) variable importance measures (VIMP) remains the subject of ongoing research. Among recent developments, heuristic approaches to parametric…
Modelling volume-outcome relationships in health care
Maurilio Gutzeit, Johannes Rauh, Maximilian Kähler +1
Despite the ongoing strong interest in associations between quality of care and the volume of health care providers, a unified statistical framework for analyzing them is missing,…
Over-optimism in benchmark studies and the multiplicity of design and analysis options when interpreting their results
Christina Nießl, Moritz Herrmann, Chiara Wiedemann +2
In recent years, the need for neutral benchmark studies that focus on the comparison of methods from computational sciences has been increasingly recognised by the scientific commu…
State-of-the-art in selection of variables and functional forms in multivariable analysis -- outstanding issues
Willi Sauerbrei, Aris Perperoglou, Matthias Schmid +7
How to select variables and identify functional forms for continuous variables is a key concern when creating a multivariable model. Ad hoc 'traditional' approaches to variable sel…