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Anzahl der Publikationen: 25
Hochschulschrift
Janitza, Silke
(2010):
Methoden der Veränderungsmessung basierend auf dem Rasch-Modell.
Bachelorarbeit,
Ludwig-Maximilians-Universität München
[PDF, 561kB]
[PDF, 561kB]
Zeitschriftenartikel
Boulesteix, Anne-Laure; Janitza, Silke; Hornung, Roman; Probst, Philipp; Busen, Hannah und Hapfelmeier, Alexander
(2019):
Making complex prediction rules applicable for readers: Current practice in random forest literature and recommendations.
In: Biometrical Journal, Bd. 61, Nr. 5: S. 1314-1328
Irlbeck, Thomas; Janitza, Silke; Poros, Balazs; Golebiewski, Monika; Frey, Lorenz; Paprottka, Philipp M.; Silva, Teresa da; Irlbeck, Michael; Böcker, Wolfgang und Weig, Thomas
(2018):
Quantification of Adipose Tissue and Muscle Mass Based on Computed Tomography Scans: Comparison of Eight Planimetric and Diametric Techniques Including a Step-By-Step Guide.
In: European Surgical Research, Bd. 59, Nr. 1-2: S. 23-34
Janitza, Silke; Celik, Ender und Boulesteix, Anne-Laure
(2018):
A computationally fast variable importance test for random forests for high-dimensional data.
In: Advances in Data Analysis and Classification, Bd. 12, Nr. 4: S. 885-915
Janitza, Silke und Hornung, Roman
(2018):
On the overestimation of random forest's out-of-bag error.
In: PLOS ONE 13(8), e0201904 [PDF, 3MB]
In: PLOS ONE 13(8), e0201904 [PDF, 3MB]
Kneidinger, Nikolaus; Milger, Katrin; Janitza, Silke; Ceelen, Felix; Leuschner, Gabriela; Dinkel, Julien; Koenigshoff, Melanie; Weig, Thomas; Schramm, Rene; Winter, Hauke; Behr, Jürgen und Neurohr, Claus
(2017):
Lung volumes predict survival in patients with chronic lung allograft dysfunction.
In: European Respiratory Journal, Bd. 49, Nr. 4, 1601315
Weig, Thomas; Milger, Katrin; Langhans, Birgit; Janitza, Silke; Sisic, Alma; Kenn, Klaus; Irlbeck, Thomas; Pomschar, Andreas; Johnson, Thorsten; Irlbeck, Michael; Behr, Jürgen; Czerner, Stephan; Schramm, René; Winter, Hauke; Neurohr, Claus; Frey, Lorenz und Kneidinger, Nikolaus
(April 2016):
Core Muscle Size Predicts Postoperative Outcome in Lung Transplant Candidates.
In: Annals of Thoracic Surgery, Bd. 101, Nr. 4: S. 1318-1325
Brettner, Florian; Janitza, Silke; Prüll, Kathrin.; Weninger, Ernst; Mansmann, Ulrich; Küchenhoff, Helmut 
ORCID: https://orcid.org/0000-0002-6372-2487; 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]
ORCID: https://orcid.org/0000-0002-6372-2487; 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, Bd. 96: S. 57-73
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, Bd. 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.
(2016):
Gram-negative and -positive bacteria differentiation in blood culture samples by headspace volatile compound analysis.
In: Journal of Biological Research - Thessaloniki
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, Bd. 58, Nr. 3: S. 447-473
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, Bd. 72, Nr. 1: S. 272-280
Janitza, Silke; Strobl, Carolin und Boulesteix, Anne-Laure
(2013):
An AUC-based permutation variable importance measure for random forests.
In: BMC Bioinformatics
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, Bd. 27, Nr. 5: S. 509-516
Paper
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]
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]
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]
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]
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]