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Plos One
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August 7, 2018
On the overestimation of random forest's out-of-bag error
Silke Janitza, Roman Hornung
European Child & Adolescent Psychiatry
|
April 25, 2019
Age-specific norms and validation of the German SDQ parent version based on a nationally representative sample (KiGGS)
Silke Janitza, Kathrin Klipker, Heike Hölling
BMC Bioinformatics
|
April 9, 2013
An AUC-based permutation variable importance measure for random forests
Silke Janitza, Carolin Strobl, Anne-Laure Boulesteix
Biometrical Journal. Biometrische Zeitschrift
|
September 16, 2015
Pitfalls of hypothesis tests and model selection on bootstrap samples: Causes and consequences in biometrical applications
Silke Janitza, Harald Binder, Anne-Laure Boulesteix
Biometrical Journal. Biometrische Zeitschrift
|
March 23, 2016
Categorical variables with many categories are preferentially selected in bootstrap-based model selection procedures for multivariable regression models
Susanne Rospleszcz, Silke Janitza, Anne-Laure Boulesteix
Biometrics
|
August 20, 2015
Subsampling versus bootstrapping in resampling-based model selection for multivariable regression
Riccardo De Bin, Silke Janitza, Willi Sauerbrei, et al.
Therapeutic Innovation & Regulatory Science
|
July 23, 2021
Correction to: elaborator: A Novel App for Insights into Laboratory Data of Clinical Trials
Silke Janitza, Madhurima Majumder, Franco Mendolia, et al.
Therapeutic Innovation & Regulatory Science
|
March 21, 2022
Correction to: Response to the Letter to the Editor by Koneswarakantha and Ménard
Silke Janitza, Madhurima Majumder, Franco Mendolia, et al.
Therapeutic Innovation & Regulatory Science
|
March 11, 2022
Response to the Letter to the Editor by Koneswarakantha and Ménard
Silke Janitza, Madhurima Majumder, Franco Mendolia, et al.
Therapeutic Innovation & Regulatory Science
|
July 1, 2021
elaborator: A Novel App for Insights into Laboratory Data of Clinical Trials
Silke Janitza, Madhurima Majumder, Franco Mendolia, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 20) with videos related to
Sort By:
Page
of 2
Plos One
|
August 7, 2018
On the overestimation of random forest's out-of-bag error
Silke Janitza, Roman Hornung
European Child & Adolescent Psychiatry
|
April 25, 2019
Age-specific norms and validation of the German SDQ parent version based on a nationally representative sample (KiGGS)
Silke Janitza, Kathrin Klipker, Heike Hölling
BMC Bioinformatics
|
April 9, 2013
An AUC-based permutation variable importance measure for random forests
Silke Janitza, Carolin Strobl, Anne-Laure Boulesteix
Biometrical Journal. Biometrische Zeitschrift
|
September 16, 2015
Pitfalls of hypothesis tests and model selection on bootstrap samples: Causes and consequences in biometrical applications
Silke Janitza, Harald Binder, Anne-Laure Boulesteix
Biometrical Journal. Biometrische Zeitschrift
|
March 23, 2016
Categorical variables with many categories are preferentially selected in bootstrap-based model selection procedures for multivariable regression models
Susanne Rospleszcz, Silke Janitza, Anne-Laure Boulesteix
Biometrics
|
August 20, 2015
Subsampling versus bootstrapping in resampling-based model selection for multivariable regression
Riccardo De Bin, Silke Janitza, Willi Sauerbrei, et al.
Therapeutic Innovation & Regulatory Science
|
July 23, 2021
Correction to: elaborator: A Novel App for Insights into Laboratory Data of Clinical Trials
Silke Janitza, Madhurima Majumder, Franco Mendolia, et al.
Therapeutic Innovation & Regulatory Science
|
March 21, 2022
Correction to: Response to the Letter to the Editor by Koneswarakantha and Ménard
Silke Janitza, Madhurima Majumder, Franco Mendolia, et al.
Therapeutic Innovation & Regulatory Science
|
March 11, 2022
Response to the Letter to the Editor by Koneswarakantha and Ménard
Silke Janitza, Madhurima Majumder, Franco Mendolia, et al.
Therapeutic Innovation & Regulatory Science
|
July 1, 2021
elaborator: A Novel App for Insights into Laboratory Data of Clinical Trials
Silke Janitza, Madhurima Majumder, Franco Mendolia, et al.
Page
of 2