Silke Janitza

  • M.E. Dolch*, S. Janitza*, A.-L. Boulesteix, C. Graßmann-Lichtenauer, S. Praun, W. Denzer, G. Schelling and S. Schubert, 2016. Gram-negative and –positive Bacteria Differentiation in Blood Culture Samples by Headspace Volatile Compound Analysis. Journal of Biological Research-Thessaloniki 23:3.
  • S. Rospleszcz*, S. Janitza*, A.-L. Boulesteix, 2016. Categorical Variables with Many Categories are Preferentially Selected in Model Selection Procedures for Multivariable Regression Models on Bootstrap Samples. Biometrical Journal DOI: 10.1002/bimj.201400185.
  • F. Brettner*, S. Janitza*, K. Prüll, E. Weninger, U. Mansmann, H. Küchenhoff, A. Jovanovic, B. Pollwein, D. Chappell, B. Zwissler, V. von Dossow, 2016. Gender-specific Differences in Low-dose Haloperidol Response for Prevention of Postoperative Nausea and Vomiting: A Register-based Cohort Study. PLoS ONE 11(1): e0146746.
  • S. Janitza, G. Tutz, A.-L. Boulesteix, 2016. Random Forest for Ordinal Responses: Prediction and Variable Selection. Computational Statistics & Data Analysis 96:57-73. Former version available as Technical Report 174, LMU München.
  • T. Weig, K. Milger, B. Langhans, S. Janitza, A. Sisic, K. Kenn, T. Irlbeck, A. Poschmar, T. Johnson, M. Irlbeck, J. Behr, S. Czerner, R. Schramm, H. Winter, C. Neurohr, L. Frey, N. Kneidinger, 2016. Core Muscle Size Predicts Postoperative Outcome in Lung Transplant Candidates. The Annals of Thoracic Surgery 101(4):1318-1325.
  • S. Janitza, H. Binder, A.-L. Boulesteix, 2015. Pitfalls of Hypothesis Tests and Model Selection on Bootstrap Samples: Causes and Consequences in Biometrical Applications. Biometrical Journal DOI: 10.1002/bimj.201400246. Former version available as Technical Report 163, LMU München.
  • R. De Bin, S. Janitza, W. Sauerbrei, A.-L. Boulesteix, 2015. Subsampling versus Bootstrapping in Resampling-based Model Selection for Multivariable Regression. Biometrics DOI: 10.1111/biom.12381. Former version available as Technical Report 171, LMU München.
  • A.-L. Boulesteix, S. Janitza, A. Hapfelmeier, K. van Steen, C. Strobl, 2015. On the Term "Interaction" and Related Phrases in the Literature on Random Forests. Briefings in Bioinformatics 16(2):338-345.
  • T. Weig, S. Janitza, M. Zoller, M.E. Dolch, J. Miller, L. Frey, N. Kneidinger, T. Johnson, M.I. Schubert, M. Irlbeck, 2014. Influence of Abdominal Obesity on Multi Organ Dysfunction and Mortality in ARDS Patients Treated with Prone Positioning. Journal of Critical Care 29(4):557-561.
  • C. Hornuss, M.E. Dolch, S. Janitza, K. Souza, S. Praun, C.C. Apfel, G. Schelling, 2013. Determination of Breath Isoprene Allows the Identification of the Expiratory Fraction of the Propofol Breath Signal During Real-time Propofol Breath Monitoring. Journal of Clinical Monitoring and Computing 27(5):509-516.
  • S. Janitza, C. Strobl, A.-L. Boulesteix, 2013. An AUC-based Permutation Variable Importance Measure for Random Forests. BMC Bioinformatics 14:119. highly-accessed
  • A.-L. Boulesteix, S. Janitza, J. Kruppa, I.R. König, 2012. Overview of Random Forest Methodology and Practical Guidance with Emphasis on Computational Biology and Bioinformatics. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 2(6):493-507. Availabe as Technical Report 129, LMU München.

* These authors contributed equally to this work.


  • S. Janitza, E. Celik, A.-L. Boulesteix, 2015. A Computationally Fast Variable Importance Test for Random Forests for High-dimensional Data. Technical Report 185, LMU München.
  • S. Janitza, G. Tutz, 2015. Prediction Models for Time Discrete Competing Risks. Technical Report 177, LMU München.