143 citations
- Ludwig-Maximilians-Universität MünchenDE8 papers
- Munich Center for Machine Learning4 papers
- LMU KlinikumDE3 papers
- Technical University of MunichDE3 papers
- Zimmer Biomet (Germany)DE3 papers
- Heidelberg UniversityDE2 papers
- InsermFR2 papers
- Medical University of ViennaAT2 papers
- Merck KGaA, Darmstadt (Germany)DE2 papers
- University Medical Center FreiburgDE2 papers
- University of FreiburgDE2 papers
- AgroParisTechFR1 paper
17 papers
Overcoming Barriers to Computational Reproducibility
Roman Hornung, László Németh, Oleksandr Zadorozhny +13
Computational reproducibility, the possibility for independent researchers to exactly reproduce published empirical results, is fundamental to science. Despite its importance, the…
Unity Forests: Improving Interaction Modelling and Interpretability in Random Forests
Roman Hornung, Alexander Hapfelmeier
Random forests (RFs) are widely used for prediction and variable importance analysis and are often believed to capture any types of interactions via recursive splitting. However, s…
Bayesian random-effects meta-analysis of aggregate data on clinical events
Christian Röver, Qiong Wu, Anja Loos +1
To investigate intervention effects on rare events, meta-analysis techniques are commonly applied in order to assess the accumulated evidence. When it comes to adverse effects in c…
Meta-analysis models relaxing the random effects normality assumption: methodological systematic review and simulation study
Kanella Panagiotopoulou, Theodoros Evrenoglou, Christopher H Schmid +2
Random effects meta-analysis is widely used for synthesizing studies under the assumption that underlying effects come from a normal distribution. However, under certain conditions…
Understanding overfitting in random forest for probability estimation: a visualization and simulation study
Lasai Barreñada, Paula Dhiman, Dirk Timmerman +2
Random forests have become popular for clinical risk prediction modelling. In a case study on predicting ovarian malignancy, we observed training c-statistics close to 1. Although…
Addressing researcher degrees of freedom through minP adjustment
Maximilian M Mandl, Andrea S Becker-Pennrich, Ludwig C Hinske +2
When different researchers study the same research question using the same dataset they may obtain different and potentially even conflicting results. This is because there is ofte…