Roman Hornung
Roman Hornung
University of Munich, Institute for Medical Information Processing, Biometry, and Epidemiology
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
On the overestimation of random forest’s out-of-bag error
S Janitza, R Hornung
PloS one 13 (8), e0201904, 2018
The impact of continuous non-invasive arterial blood pressure monitoring on blood pressure stability during general anaesthesia in orthopaedic patients
AS Meidert, JS Nold, R Hornung, AC Paulus, B Zwißler, S Czerner
European journal of anaesthesiology 34 (11), 716-722, 2017
Combining location-and-scale batch effect adjustment with data cleaning by latent factor adjustment
R Hornung, AL Boulesteix, D Causeur
BMC bioinformatics 17 (1), 1-19, 2016
Ordinal forests
R Hornung
Journal of Classification 37 (1), 4-17, 2020
Priority-Lasso: a simple hierarchical approach to the prediction of clinical outcome using multi-omics data
S Klau, V Jurinovic, R Hornung, T Herold, AL Boulesteix
BMC bioinformatics 19 (1), 1-14, 2018
Improving cross-study prediction through addon batch effect adjustment or addon normalization
R Hornung, D Causeur, C Bernau, AL Boulesteix
Bioinformatics 33 (3), 397-404, 2017
A measure of the impact of CV incompleteness on prediction error estimation with application to PCA and normalization
R Hornung, C Bernau, C Truntzer, R Wilson, T Stadler, AL Boulesteix
BMC medical research methodology 15 (1), 1-15, 2015
Large-scale benchmark study of survival prediction methods using multi-omics data
M Herrmann, P Probst, R Hornung, V Jurinovic, AL Boulesteix
Briefings in bioinformatics 22 (3), bbaa167, 2021
Making complex prediction rules applicable for readers: Current practice in random forest literature and recommendations
AL Boulesteix, S Janitza, R Hornung, P Probst, H Busen, A Hapfelmeier
Biometrical Journal 61 (5), 1314-1328, 2019
On fishing for significance and statistician’s degree of freedom in the era of big molecular data
AL Boulesteix, R Hornung, W Sauerbrei
Berechenbarkeit der Welt?, 155-170, 2017
A u-statistic estimator for the variance of resampling-based error estimators
M Fuchs, R Hornung, R De Bin, AL Boulesteix
arXiv preprint arXiv:1310.8203, 2013
Evaluating the best empirical antibiotic therapy in patients with acute-on-chronic liver failure and spontaneous bacterial peritonitis
A Wieser, H Li, J Zhang, I Liss, D Markwardt, R Hornung, S Suerbaum, ...
Digestive and Liver Disease 51 (9), 1300-1307, 2019
Mediation analysis reveals common mechanisms of RUNX1 point mutations and RUNX1/RUNX1T1 fusions influencing survival of patients with acute myeloid leukemia
R Hornung, V Jurinovic, AMN Batcha, SA Bamopoulos, ...
Scientific reports 8 (1), 1-13, 2018
Full versus incomplete cross-validation: measuring the impact of imperfect separation between training and test sets in prediction error estimation
R Hornung, C Bernau, C Truntzer, T Stadler, AL Boulesteix
Block Forests: random forests for blocks of clinical and omics covariate data
R Hornung, MN Wright
BMC Bioinformatics 20, 358, 2019
ordinalForest: Ordinal forests: prediction and variable ranking with ordinal target variables
R Hornung
R package version 2, 2018
Patients with cirrhosis and SBP: Increase in multidrug‐resistant organisms and complications
H Li, A Wieser, J Zhang, I Liss, D Markwardt, R Hornung, ...
European journal of clinical investigation 50 (2), e13198, 2020
On the asymptotic behaviour of the variance estimator of a U-statistic
M Fuchs, R Hornung, AL Boulesteix, R De Bin
Journal of Statistical Planning and Inference 209, 101-111, 2020
Diversity forests: Using split sampling to allow for complex split procedures in random forest
R Hornung
Preparation of high-dimensional biomedical data with a focus on prediction and error estimation
R Hornung
lmu, 2016
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20