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Gruppiert nach: Dokumententyp | Veröffentlichungsdatum
Springe zu: 2016 | 2015 | 2014 | 2013 | 2012 | 2010
Anzahl der Publikationen: 13 .

2016

Boulesteix, Anne-Laure; Janitza, Silke; Hornung, Roman; Probst, Philipp; Busen, Hannah; 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, 439kB]

Brettner, Florian; Janitza, Silke; Prüll, Kathrin.; Weninger, Ernst; Mansmann, Ulrich; Küchenhoff, Helmut; Jovanovic, Alexander; Pollwein, Bernhard; Chappell, Daniel; Zwissler, Bernhard; 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

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

2015

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

2014

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

2012

Janitza, Silke; Strobl, Carolin; 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; 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 Fri Jan 20 05:24:53 2017 CET erstellt.