Fractional Polynomial Models as Special Cases of Bayesian Generalized Nonlinear Models by Aliaksandr Hubin, Georg Heinze, Riccardo De Bin

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Accounting for grouped predictor variables or pathways in high-dimensional penalized Cox regression models by Shaima Belhechmi, Riccardo De Bin, Federico Rotolo, Stefan Michiels

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A plea for taking all available clinical information into account when assessing the predictive value of omics data by Alexander Volkmann, Riccardo De Bin, Willi Sauerbrei, Anne-Laure Boulesteix

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Framework for evaluating statistical models in physics education research by John M. Aiken, Riccardo De Bin, H. J. Lewandowski, Marcos D. Caballero

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Favoring the hierarchical constraint in penalized survival models for randomized trials in precision medicine by Shaima Belhechmi, Gwénaël Le Teuff, Riccardo De Bin, Federico Rotolo, Stefan Michiels

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Predicting time to graduation at a large enrollment American university. by John M Aiken, Riccardo De Bin, Morten Hjorth-Jensen, Marcos D Caballero

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Statistical analysis of high-dimensional biomedical data: a gentle introduction to analytical goals, common approaches and challenges by Jörg Rahnenführer, Riccardo De Bin, Axel Benner, Federico Ambrogi, Lara Lusa, Anne-Laure Boulesteix, Eugenia Migliavacca, Harald Binder, Stefan Michiels, Willi Sauerbrei, Lisa McShane, for topic group “High-dimensional data” (TG9) of the STRATOS initiative

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