338 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of SalzburgAT5 papers
- Technical University of MunichDE3 papers
- University of KentuckyUS3 papers
- Christian Doppler KlinikAT2 papers
- Heidelberg UniversityDE2 papers
- Johannes Kepler University of LinzAT2 papers
- Ludwig-Maximilians-Universität MünchenDE2 papers
- University Hospital CologneDE2 papers
- University of CologneDE2 papers
- Acibadem City ClinicBG1 paper
- AIT Austrian Institute of Technology GmbHAT1 paper
- Al-Azhar UniversityEG1 paper
4 papers · 1 filter
Deep ROC Analysis and AUC as Balanced Average Accuracy to Improve Model Selection, Understanding and Interpretation
André M. Carrington, Douglas G. Manuel, Paul W. Fieguth +9
Optimal performance is critical for decision-making tasks from medicine to autonomous driving, however common performance measures may be too general or too specific. For binary cl…
Multivariate analysis of covariance when standard assumptions are violated
Georg Zimmermann, Markus Pauly, Arne C. Bathke
In applied research, it is often sensible to account for one or several covariates when testing for differences between multivariate means of several groups. However, the "classica…
Sample size calculation and blinded recalculation for analysis of covariance models with multiple random covariates
Georg Zimmermann, Meinhard Kieser, Arne Bathke
When testing for superiority in a parallel-group setting with a continuous outcome, adjusting for covariates (e.g., baseline measurements) is usually recommended, in order to reduc…
Small-sample performance and underlying assumptions of a bootstrap-based inference method for a general analysis of covariance model with possibly heteroskedastic and nonnormal errors
Georg Zimmermann, Markus Pauly, Arne C. Bathke
It is well known that the standard F test is severely affected by heteroskedasticity in unbalanced analysis of covariance (ANCOVA) models. Currently available potential remedies fo…