Roman Hornung

发表

Large-scale benchmark study of survival prediction methods using multi-omics data

Moritz Herrmann, Philipp Probst, Roman Hornung, 2020, Briefings Bioinform..

On Fishing for Significance and Statistician’s Degree of Freedom in the Era of Big Molecular Data

Roman Hornung, Anne-Laure Boulesteix, Willi Sauerbrei, 2017 .

Improved Outcome Prediction Across Data Sources Through Robust Parameter Tuning

Bernd Bischl, Roman Hornung, Anne-Laure Boulesteix, 2020 .

Priority-Lasso: a simple hierarchical approach to the prediction of clinical outcome using multi-omics data

Roman Hornung, Vindi Jurinovic, Anne-Laure Boulesteix, 2018, BMC Bioinformatics.

A measure of the impact of CV incompleteness on prediction error estimation with application to PCA and normalization

Rory Wilson, Roman Hornung, Caroline Truntzer, 2015, BMC Medical Research Methodology.

Preparation of high-dimensional biomedical data with a focus on prediction and error estimation

Roman Hornung, R. Hornung, 2016 .

Block Forests: random forests for blocks of clinical and omics covariate data

Roman Hornung, Marvin N. Wright, R. Hornung, 2019, BMC Bioinformatics.

Full versus incomplete cross-validation: measuring the impact of imperfect separation between training and test sets in prediction error estimation

Roman Hornung, Caroline Truntzer, Anne-Laure Boulesteix, 2014 .

Combining location-and-scale batch effect adjustment with data cleaning by latent factor adjustment

David Causeur, Roman Hornung, Anne-Laure Boulesteix, 2016, BMC Bioinformatics.

Ordinal Forests

Roman Hornung, R. Hornung, 2020, J. Classif..

Improving cross‐study prediction through addon batch effect adjustment or addon normalization

David Causeur, Roman Hornung, Anne-Laure Boulesteix, 2016, Bioinform..

Diversity Forests: Using Split Sampling to Allow for Complex Split Procedures in Random Forest

Roman Hornung, 2020 .

Making complex prediction rules applicable for readers: Current practice in random forest literature and recommendations

Philipp Probst, Roman Hornung, Anne-Laure Boulesteix, 2018, Biometrical journal. Biometrische Zeitschrift.

Interaction forests: Identifying and exploiting interpretable quantitative and qualitative interaction effects

Roman Hornung, Anne-Laure Boulesteix, A. Boulesteix, 2021, Comput. Stat. Data Anal..

Diversity Forests: Using Split Sampling to Enable Innovative Complex Split Procedures in Random Forests

Roman Hornung, R. Hornung, 2021, SN Computer Science.

A U-statistic estimator for the variance of resampling-based error estimators

Roman Hornung, Anne-Laure Boulesteix, Riccardo De Bin, 2013, 1310.8203.