Subsampling Versus Bootstrapping in Resampling-Based Model Selection for Multivariable RegressionRiccardo De Bin, Anne‐Laure Boulesteix, Willi Sauerbrei et al.|Biometrics|2015Cited by 107
Statistical analysis of high-dimensional biomedical data: a gentle introduction to analytical goals, common approaches and challengesJörg Rahnenführer, Eugenia Migliavacca, Anne‐Laure Boulesteix et al.|BMC Medicine|2023Cited by 97
IPF-LASSO: Integrative<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M1"><mml:mrow><mml:msub><mml:mrow><mml:mi>L</mml:mi></mml:mrow><mml:mrow><mml:mn fontstyle="italic">1</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:math>-Penalized Regression with Penalty Factors for Prediction Based on Multi-Omics DataAnne‐Laure Boulesteix, Mathias Fuchs, Riccardo De Bin et al.|Computational and Mathematical Methods in Medicine|2017Cited by 97
Investigating the prediction ability of survival models based on both clinical and omics data: two case studiesRiccardo De Bin, Anne‐Laure Boulesteix, Willi Sauerbrei|Statistics in Medicine|2014Cited by 52
On the choice and influence of the number of boosting steps for high-dimensional linear Cox-modelsHeidi Seibold, Riccardo De Bin, Christoph Bernau et al.|Computational Statistics|2017Cited by 28