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Eine Ebene nach oben |
Gruppiert nach: Dokumententyp |
Veröffentlichungsdatum
Anzahl der Publikationen: 17
2023
Rahnenführer, Jörg 
ORCID: https://orcid.org/0000-0002-8947-440X; De Bin, Riccardo ORCID: https://orcid.org/0000-0002-7441-6880; Benner, Axel ORCID: https://orcid.org/0000-0002-7238-6956; Ambrogi, Federico ORCID: https://orcid.org/0000-0001-9358-011X; Lusa, Lara ORCID: https://orcid.org/0000-0002-8981-2421; Boulesteix, Anne-Laure ORCID: https://orcid.org/0000-0002-2729-0947; Migliavacca, Eugenia; Binder, Harald ORCID: https://orcid.org/0000-0002-5666-8662; Michiels, Stefan ORCID: https://orcid.org/0000-0002-6963-2968; Sauerbrei, Willi ORCID: https://orcid.org/0000-0002-6792-4123 und McShane, Lisa ORCID: https://orcid.org/0000-0001-8195-3206
(2023):
Statistical analysis of high-dimensional biomedical data: a gentle introduction to analytical goals, common approaches and challenges.
In: BMC Medicine, Bd. 21, Nr. 1
[PDF, 5MB]
ORCID: https://orcid.org/0000-0002-8947-440X; De Bin, Riccardo ORCID: https://orcid.org/0000-0002-7441-6880; Benner, Axel ORCID: https://orcid.org/0000-0002-7238-6956; Ambrogi, Federico ORCID: https://orcid.org/0000-0001-9358-011X; Lusa, Lara ORCID: https://orcid.org/0000-0002-8981-2421; Boulesteix, Anne-Laure ORCID: https://orcid.org/0000-0002-2729-0947; Migliavacca, Eugenia; Binder, Harald ORCID: https://orcid.org/0000-0002-5666-8662; Michiels, Stefan ORCID: https://orcid.org/0000-0002-6963-2968; Sauerbrei, Willi ORCID: https://orcid.org/0000-0002-6792-4123 und McShane, Lisa ORCID: https://orcid.org/0000-0001-8195-3206
(2023):
Statistical analysis of high-dimensional biomedical data: a gentle introduction to analytical goals, common approaches and challenges.
In: BMC Medicine, Bd. 21, Nr. 1
[PDF, 5MB]
2019
Volkmann, Alexander; De Bin, Riccardo; Sauerbrei, Willi und Boulesteix, Anne-Laure
(2019):
A plea for taking all available clinical information into account when assessing the predictive value of omics data.
In: BMC Medical Research Methodology
19:162
[PDF, 913kB]
2018
De Bin, Riccardo und Sauerbrei, Willi
(2018):
Handling co-dependence issues in resampling-based variable selection procedures: a simulation study.
In: Journal of Statistical Computation and Simulation, Bd. 88, Nr. 1: S. 28-55
2016
Seibold, Heidi; Bernau, Christoph; Boulesteix, Anne-Laure und De Bin, Riccardo
(7. Januar 2016):
On the choice and influence of the number of boosting steps.
Department of Statistics: Technical Reports, Nr. 188
[PDF, 472kB]
De Bin, Riccardo
(2016):
Boosting in Cox regression: a comparison between the likelihood-based and the model-based approaches with focus on the R-packages CoxBoost and mboost.
In: Computational Statistics, Bd. 31, Nr. 2: S. 513-531
De Bin, Riccardo
(2016):
On the equivalence between conditional and random-effects likelihoods in exponential families.
In: Statistics & Probability Letters, Bd. 110: S. 34-38
2015
Boulesteix, Anne-Laure; De Bin, Riccardo; Jiang, Xiaoyu und Fuchs, Mathias
(17. Dezember 2015):
IPF-LASSO: integrative L1-penalized regression with penalty factors for prediction based on multi-omics data.
Department of Statistics: Technical Reports, Nr. 187
[PDF, 497kB]
De Bin, Riccardo
(2. April 2015):
Boosting in Cox regression: a comparison between the likelihood-based and the model-based approaches with focus on the R-packages CoxBoost and mboost.
Department of Statistics: Technical Reports, Nr. 180
[PDF, 507kB]
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
De Bin, Riccardo; Severini, T. A. und Sartori, N.
(2015):
Integrated likelihoods in models with stratum nuisance parameters.
In: Electronic Journal of Statistics, Bd. 9, Nr. 1: S. 1474-1491
2014
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]
De Bin, Riccardo und Scarpa, Bruno
(8. September 2014):
Non-parametric Bayesian modeling of cervical
mucus symptom.
Department of Statistics: Technical Reports, Nr. 170
[PDF, 460kB]
De Bin, Riccardo; Sartori, Nicola und Severini, Thomas A.
(26. Februar 2014):
Integrated likelihoods in models with stratum nuisance parameters.
Department of Statistics: Technical Reports, Nr. 157
[PDF, 419kB]
De Bin, Riccardo; Herold, Tobias und Boulesteix, Anne-Laure
(18. Februar 2014):
Added predictive value of omics data: specific
issues related to validation illustrated by two
case studies.
Department of Statistics: Technical Reports, Nr. 154
[PDF, 542kB]
De Bin, Riccardo; Herold, Tobias und Boulesteix, Anne-Laure
(2014):
Added predictive value of omics data: specific issues related to validation illustrated by two case studies.
In: BMC Medical Research Methodology
14:117
[PDF, 765kB]
2013
Fuchs, Mathias; Hornung, Roman; De Bin, Riccardo und Boulesteix, Anne-Laure
(12. November 2013):
A U-statistic estimator for the variance of resampling-based error estimators.
Department of Statistics: Technical Reports, Nr. 148
[PDF, 323kB]
De Bin, Riccardo; Sauerbrei, Willi und Boulesteix, Anne-Laure
(31. Oktober 2013):
Investigating the prediction ability of survival models based on both clinical and omics data: two case studies.
Department of Statistics: Technical Reports, Nr. 153
[PDF, 453kB]