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Gruppiert nach: Dokumententyp | Veröffentlichungsdatum
Springe zu: 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2010
Anzahl der Publikationen: 20 .

2017

Janitza, Silke (10. April 2017): On the overestimation of random forest’s out-of-bag error. Department of Statistics: Technical Reports, Nr. 204 [PDF, 641kB]

2016

Boulesteix, Anne-Laure; Janitza, Silke; Hornung, Roman; Probst, Philipp; Busen, Hannah und Hapfelmeier, Alexander (19. Dezember 2016): Making Complex Prediction Rules Applicable for Readers: Current Practice in Random Forest Literature and Recommendations. Department of Statistics: Technical Reports, Nr. 199 [PDF, 456kB]

Brettner, Florian; Janitza, Silke; Prüll, Kathrin.; Weninger, Ernst; Mansmann, Ulrich; Küchenhoff, Helmut; Jovanovic, Alexander; Pollwein, Bernhard; Chappell, Daniel; Zwissler, Bernhard und Dossow, Vera von (2016): Gender-Specific Differences in Low-Dose Haloperidol Response for Prevention of Postoperative Nausea and Vomiting: A Register-Based Cohort Study.
In: PLOS ONE 11(1), e0146746 [PDF, 673kB]

Janitza, Silke; Tutz, Gerhard und Boulesteix, Anne-Laure (2016): Random forest for ordinal responses: Prediction and variable selection. In: Computational Statistics and Data Analysis, Vol. 96: S. 57-73

Weig, T.; Milger, K.; Langhans, B.; Janitza, Silke; Sisic, A.; Kenn, K.; Irlbeck, T.; Pomschar, A.; Johnson, T.; Irlbeck, M.; Behr, J.; Czerner, S.; Schramm, R.; Winter, H.; Neurohr, C.; Frey, L. und Kneidinger, N. (2016): Core Muscle Size Predicts Postoperative Outcome in Lung Transplant Candidates. In: Annals of Thoracic Surgery, Vol. 101, Nr. 4: S. 1318-1325

Rospleszcz, S.; Janitza, Silke und Boulesteix, Anne-Laure (2016): Categorical variables with many categories are preferentially selected in bootstrap-based model selection procedures for multivariable regression models. In: Biometrical Journal, Vol. 58, Nr. 3: S. 652-673

Dolch, M. E.; Janitza, Silke; Boulesteix, Anne-Laure; Grassmann-Lichtenauer, Carola; Praun, S.; Denzer, W.; Schelling, Gustav und Schubert, S.: Gram-negative and -positive bacteria differentiation in blood culture samples by headspace volatile compound analysis. In: Journal of Biological Research - Thessaloniki 2016, 23:3 [PDF, 1MB]

Janitza, Silke; Binder, H. und Boulesteix, Anne-Laure (2016): Pitfalls of hypothesis tests and model selection on bootstrap samples: Causes and consequences in biometrical applications. In: Biometrical Journal, Vol. 58, Nr. 3: S. 447-473

2015

Janitza, Silke; Celik, Ender und Boulesteix, Anne-Laure (22. Oktober 2015): A computationally fast variable importance test for random forests for high-dimensional data. Department of Statistics: Technical Reports, Nr. 185 [PDF, 1MB]

Janitza, Silke und Tutz, Gerhard (2. Januar 2015): Prediction Models for Time Discrete Competing Risks. Department of Statistics: Technical Reports, Nr. 177 [PDF, 552kB]

De Bin, Riccardo; Janitza, Silke; Sauerbrei, W. und Boulesteix, Anne-Laure (2015): Subsampling versus bootstrapping in resampling-based model selection for multivariable regression. In: Biometrics, Vol. 72, Nr. 1: S. 272-280

2014

Janitza, Silke; Tutz, Gerhard und Boulesteix, Anne-Laure (1. Dezember 2014): Random Forests for Ordinal Response Data: Prediction and Variable Selection. Department of Statistics: Technical Reports, Nr. 174 [PDF, 597kB]

Janitza, Silke; Binder, Harald und Boulesteix, Anne-Laure (19. November 2014): Pitfalls of hypothesis tests and model selection on bootstrap samples: causes and consequences in biometrical applications. Department of Statistics: Technical Reports, Nr. 163 [PDF, 1MB]

De Bin, Riccardo; Janitza, Silke; Sauerbrei, Willi und Boulesteix, Anne-Laure (14. Oktober 2014): Subsampling versus bootstrapping in resampling-based model selection for multivariable regression. Department of Statistics: Technical Reports, Nr. 171 [PDF, 379kB]

Rospleszcz, Susanne; Janitza, Silke und Boulesteix, Anne-Laure (7. August 2014): Categorical variables with many categories are preferentially selected in model selection procedures for multivariable regression models on bootstrap samples. Department of Statistics: Technical Reports, Nr. 164 [PDF, 604kB]

2013

Janitza, Silke; Strobl, Carolin und Boulesteix, Anne-Laure: An AUC-based permutation variable importance measure for random forests. In: BMC Bioinformatics 2013, 14:119 [PDF, 296kB]

Hornuss, C.; Dolch, M. E.; Janitza, Silke; Souza, K.; Praun, S.; Apfel, C. C. und Schelling, Gustav (2013): Determination of breath isoprene allows the identification of the expiratory fraction of the propofol breath signal during real-time propofol breath monitoring. In: Journal of Clinical Monitoring and Computing, Vol. 27, Nr. 5: S. 509-516

2012

Janitza, Silke; Strobl, Carolin und Boulesteix, Anne-Laure (November 2012): An AUC-based Permutation Variable Importance Measure for Random Forests. Department of Statistics: Technical Reports, Nr. 130 [PDF, 470kB]

Boulesteix, Anne-Laure; Janitza, Silke; Kruppa, Jochen und König, Inke R. (25. Juli 2012): Overview of Random Forest Methodology and Practical Guidance with Emphasis on Computational Biology and Bioinformatics. Department of Statistics: Technical Reports, Nr. 129 [PDF, 376kB]

2010

Janitza, Silke (2010): Methoden der Veränderungsmessung basierend auf dem Rasch-Modell. Bachelorarbeit, Ludwig-Maximilians-Universität München
[PDF, 561kB]

Diese Liste wurde am Sun Aug 20 00:42:01 2017 CEST erstellt.