Hornung, Roman

Submitted articles

• Yingxia Li, Ulrich Mansmann, Shangming Du, Roman Hornung (2022): Benchmark study of feature selection strategies for multi-omics data.

Peer-reviewed articles

• Roman Hornung, Anne-Laure Boulesteix (2022): Interaction Forests: Identifying and exploiting interpretable quantitative and qualitative interaction effects. Computational Statistics & Data Analysis: Annals of Statistical Data Science 171:107460.
• Roman Hornung, Anne-Laure Boulesteix (2022): Book review: Machine learning for knowledge discovery with R: Methodologies for modeling, inference and prediction by Kao-Tai Tsai, Boca Raton, FL: Chapman and Hall/CRC Press. 2021. 244 pages. Hardback price GBP 74.99. ISBN 9781032065366. Biometrical Journal.  DOI: 10.1002/bimj.202200007
• Shangming Du, Ulrich Mansmann, Benjamin P Geisler, Yingxia Li, Roman Hornung (2022): A Diagnostic Model for Kawasaki Disease Based on Immune Cell Characterization From Blood Samples. Frontiers in Pediatrics 9:769937.
• Roman Hornung (2022): Diversity Forests: Using Split Sampling to Enable Innovative Complex Split Procedures in Random Forests. SN Computer Science 3:1.
• Yingxia Li, Ulrich Mansmann, Shangming Du, Roman Hornung (2021): Synergistic Effects of Different Levels of Genomic Data for the Staging of Lung Adenocarcinoma: An Illustrative Study. Genes 12(12):1872.
• Weiting Cheng, Roman Hornung, Kai Xu, Cai hong Yang, Jian Li (2021): Complement C3 identified as a unique risk factor for disease severity among young COVID-19 patients in Wuhan, China. Scientific Reports 11:7857.
• Sabina P W Guenther, Roman Hornung, Dominik Joskowiak, Polyxeni Vlachea, Katharina Feil, Martin Orban, Sven Peterss, Frank Born, Jörg Hausleiter, Steffen Massberg, Christian Hagl (2021): Extracorporeal life support in therapy-refractory cardiocirculatory failure: looking beyond 30 days. Interactive CardioVascular and Thoracic Surgery 32(4):607-615.
• Anne-Laure Boulesteix, Rolf HH Groenwold, Michal Abrahamowicz, Harald Binder, Matthias Briel, Roman Hornung, Tim P Morris, Jörg Rahnenführer, Willi Sauerbrei (2021): Introduction to statistical simulations in health research. BMJ Open 10(12):e039921.
• Moritz Herrmann, Philipp Probst, Roman Hornung, Vindi Jurinovic, Anne-Laure Boulesteix (2020): Large-scale benchmark study of survival prediction methods using multi-omics data. Briefings in Bioinformatics bbaa167.
• Nicole Ellenbach, Anne-Laure Boulesteix, Bernd Bischl, Kristian Unger, Roman Hornung (2020): Improved outcome prediction across data sources through robust parameter tuning. Journal of Classification.
• Daniel Samaga, Roman Hornung, Herbert Braselmann, Julia Hess, Horst Zitzelsberger, Claus Belka, Anne-Laure Boulesteix, Kristian Unger (2020): Single-center versus multi-center data sets for molecular prognostic modeling: a simulation study. Radiation Oncology 15:109.
• Mathias Fuchs, Roman Hornung, Anne-Laure Boulesteix, Riccardo De Bin (2020): On the asymptotic behavior of the variance estimator of a U-statistic. Journal of Statistical Planning and Inference 209:101-111.
• Hanwei Li, Andreas Wieser, Jiang Zhang, Ingrid Liss, Daniel Markwardt, Roman Hornung, Anna C. Neumann‐Cip, Julia Mayerle, Alexander Gerbes, Christian J. Steib (2020): Patients with cirrhosis and SBP: Increase in multidrug‐resistant organisms and complications. European Journal of Clinical Investigation 50(2):e13198.
• Roman Hornung, Marvin N. Wright (2019): Block Forests: random forests for blocks of clinical and omics covariate data. BMC Bioinformatics 20:358.
• Andreas Wieser, Hanwei Li, Jiang Zhang, Ingrid Liss, Daniel Markwardt, Roman Hornung, Sebastian Suerbaum, Julia Mayerle, Alexander L. Gerbes, Christian J. Steib (2019): Evaluating the best empirical antibiotic therapy in patients with acute-on-chronic liver failure and spontaneous bacterial peritonitis. Digestive and Liver Disease. DOI: https://doi.org/10.1016/j.dld.2019.02.015.
• Roman Hornung (2019): Ordinal Forests. Journal of Classification. DOI: https://doi.org/10.1007/s00357-018-9302-x. 
• Simon Klau, Vindi Jurinovic, Roman Hornung, Tobias Herold, Anne-Laure Boulesteix (2018): Priority-Lasso: a simple hierarchical approach to the prediction of clinical outcome using multi-omics data. BMC Bioinformatics 19:322.
• Roman Hornung, Vindi Jurinovic, Aarif M. N. Batcha, Stefanos A. Bamopoulos, Maja Rothenberg-Thurley, Susanne Amler, Maria Cristina Sauerland, Wolfgang E. Berdel, Bernhard J. Wörmann, Stefan K. Bohlander, Jan Braess, Wolfgang Hiddemann, Sören Lehmann, Sylvain Mareschal, Karsten Spiekermann, Klaus H. Metzeler, Tobias Herold, Anne-Laure Boulesteix (2018): Mediation analysis reveals common mechanisms of RUNX1 point mutations and RUNX1/RUNX1T1 fusions influencing survival of patients with acute myeloid leukemia. Scientific Reports 8:11293.
• Silke Janitza, Roman Hornung (2018): On the overestimation of random forest's out-of-bag error. PLOS ONE 13(8): e0201904.
• Anne-Laure Boulesteix*, Silke Janitza*, Roman Hornung, Philipp Probst, Hannah Busen, Alexander Hapfelmeier (2018): Making complex prediction rules applicable for readers: Current practice in random forest literature and recommendations. Biometrical Journal. DOI: 10.1002/bimj.201700243. *both authors contributed equally to the paper.
• Agnes Meidert, Johanna Nold, Roman Hornung, Alexander Paulus, Bernhard Zwißler, Stephan Czerner (2017): The impact of continuous non-invasive arterial blood pressure monitoring on blood pressure stability during general anaesthesia in orthopaedic patients. European Journal of Anaesthesiology 34:1-7.
• Roman Hornung, David Causeur, Christoph Bernau, Anne-Laure Boulesteix (2016): Improving cross-study prediction through addon batch effect adjustment or addon normalization. Bioinformatics 33(3):397-404.
• Roman Hornung, Anne-Laure Boulesteix, David Causeur (2016): Combining location-and-scale batch effect adjustment with data cleaning by latent factor adjustment. BMC Bioinformatics 17:27.
• Anne-Laure Boulesteix, Roman Hornung, Willi Sauerbrei (2015): On fishing for significance and statistician’s degree of freedom in the era of big molecular data. "Ott, Max; Pietsch, Wolfgang; Wernecke, Jörg. Berechenbarkeit der Welt? Philosophie und Wissenschaft im Zeitalter von Big Data. Wiesbaden: Springer VS".
• Roman Hornung, Christoph Bernau, Caroline Truntzer, Rory Wilson, Thomas Stadler, Anne-Laure Boulesteix (2015): A measure of the impact of CV incompleteness on prediction error estimation with application to PCA and normalization. BMC Medical Research Methodology 15:95.

Software

• Roman Hornung, Marvin N. Wright (2022): diversityForest: Innovative Complex Split Procedures in Random Forests Through Candidate Split Sampling. R package version 0.3.3. Available from CRAN: Link.
• Simon Klau, Roman Hornung (Maintainer), Alina Bauer (2020): prioritylasso: Analyzing Multiple Omics Data with an Offset Approach. R package version 0.2.5. Available from CRAN: Link.
• Roman Hornung, Marvin N. Wright (2019): blockForest: Block Forests: Random Forests for Blocks of Clinical and Omics Covariate Data. R package version 0.2.4. Available from CRAN: Link.
• Roman Hornung (2017): Ordinal Forests: Prediction and Variable Ranking with Ordinal Target Variables. R package version 2.1. Available from CRAN: Link.
• Roman Hornung (2017): survmediation: An R package for the analysis of mediation effects in survival data using the methodology presented by Lange & Hansen (2011). R package version 1.0. Available from github: Link.
• Roman Hornung, David Causeur (2016): bapred: Batch Effect Removal and Addon Normalization (in Phenotype Prediction using Gene Data). R package version 1.0. Available from CRAN: Link.