Boosting the concordance index for survival data--a unified framework to derive and evaluate biomarker combinations von Mayr, Andreas, Schmid, Matthias

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Randomized boosting with multivariable base-learners for high-dimensional variable selection and prediction von Staerk, Christian, Mayr, Andreas

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Estimating effective infection fatality rates during the course of the COVID-19 pandemic in Germany von Staerk, Christian, Wistuba, Tobias, Mayr, Andreas

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Large-scale comparison of machine learning methods for drug target prediction on ChEMBL von Mayr, Andreas, Klambauer, Günter, Unterthiner, Thomas, Steijaert, Marvin, Wegner, Jörg K, Ceulemans, Hugo, Clevert, Djork-Arné, Hochreiter, Sepp

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Model-based boosting in R: a hands-on tutorial using the R package mboost von Hofner, Benjamin, Mayr, Andreas, Robinzonov, Nikolay, Schmid, Matthias

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gamboostLSS : An R Package for Model Building and Variable Selection in the GAMLSS Framework von Hofner, Benjamin, Mayr, Andreas, Schmid, Matthias

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Estimating the course of the COVID-19 pandemic in Germany via spline-based hierarchical modelling of death counts von Wistuba, Tobias, Mayr, Andreas, Staerk, Christian

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Redundancy-aware unsupervised ranking based on game theory: Ranking pathways in collections of gene sets von Balestra, Chiara, Maj, Carlo, Müller, Emmanuel, Mayr, Andreas

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Postoperative delirium is an independent factor influencing the length of stay of elderly patients in the intensive care unit and in hospital von Kirfel, Andrea, Guttenthaler, Vera, Mayr, Andreas, Coburn, Mark, Menzenbach, Jan, Wittmann, Maria

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Latent class distributional regression for the estimation of non-linear reference limits from contaminated data sources von Hepp, Tobias, Zierk, Jakob, Rauh, Manfred, Metzler, Markus, Mayr, Andreas

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Generalized additive models for location, scale and shape for high dimensional data-a flexible approach based on boosting von Mayr, Andreas, Fenske, Nora, Hofner, Benjamin, Kneib, Thomas, Schmid, Matthias

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Generalizability of polygenic prediction models: how is the R2 defined on test data? von Staerk, Christian, Klinkhammer, Hannah, Wistuba, Tobias, Maj, Carlo, Mayr, Andreas

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Multi-modal representation learning in retinal imaging using self-supervised learning for enhanced clinical predictions von Sükei, Emese, Rumetshofer, Elisabeth, Schmidinger, Niklas, Mayr, Andreas, Schmidt-Erfurth, Ursula, Klambauer, Günter, Bogunović, Hrvoje

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Effects of Omega-3 Fatty Acids on Postoperative Inflammatory Response: A Systematic Review and Meta-Analysis von Mohsen, Ghaith, Stroemer, Annika, Mayr, Andreas, Kunsorg, Andrea, Stoppe, Christian, Wittmann, Maria, Velten, Markus

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The level of postoperative care influences mortality prediction by the POSPOM score: A retrospective cohort analysis von Menzenbach, Jan, Layer, Yannik C, Layer, Yonah L, Mayr, Andreas, Coburn, Mark, Wittmann, Maria, Hilbert, Tobias

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FABIA: factor analysis for bicluster acquisition von Hochreiter, Sepp, Bodenhofer, Ulrich, Heusel, Martin, Mayr, Andreas, Mitterecker, Andreas, Kasim, Adetayo, Khamiakova, Tatsiana, Van Sanden, Suzy, Lin, Dan, Talloen, Willem, Bijnens, Luc, Göhlmann, Hinrich W. H., Shkedy, Ziv, Clevert, Djork-Arné

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IPF-LASSO: Integrative L1-Penalized Regression with Penalty Factors for Prediction Based on Multi-Omics Data von Fuchs, Mathias, Jiang, Xiaoyu, De Bin, Riccardo, Boulesteix, Anne-Laure

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A statistical boosting framework for polygenic risk scores based on large-scale genotype data von Klinkhammer, Hannah, Staerk, Christian, Maj, Carlo, Krawitz, Peter Michael, Mayr, Andreas

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Remotely delivered cognitive therapy for social anxiety disorder in adolescence: Preliminary efficacy evidence based on changes throughout treatment von Vagos, Paula, Figueiredo, Diana Vieira, Ganho-Ávila, Ana, Mayr, Andreas, Rijo, Daniel

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Prospective, Blinded, Randomized Crossover Study of Gait Rehabilitation in Stroke Patients Using the Lokomat Gait Orthosis von Mayr, Andreas, Kofler, Markus, Quirbach, Ellen, Matzak, Heinz, Fröhlich, Katrin, Saltuari, Leopold

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