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Krautenbacher, N. et al.: A strategy for high-dimensional multivariable analysis classifies childhood asthma phenotypes from genetic, immunological, and environmental factors. Allergy, accepted (2019)
Guinney, J.* et al.: Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: Development of a prognostic model through a crowdsourced challenge with open clinical trial data. Lancet Oncol. 18, 132-142 (2017)
Krautenbacher, N. ; Theis, F.J. & Fuchs, C.: Correcting classifiers for sample selection bias in two-phase case-control studies. Comput. Math. Methods Med. 2017:7847531 (2017)
Seyednasrollah, F.* et al.: A DREAM challenge to build prediction models for short-term discontinuation of docetaxel in metastatic castration-resistant prostate cancer. JCO Clin. Can. Inform. 1, 1-15 (2017)
Fuchs, M.* & Krautenbacher, N.: Minimization and estimation of the variance of prediction errors for cross-validation designs. J. Stat. Theory Pract. 10, 420-443 (2016)
Kondofersky, I. et al.: Three general concepts to improve risk prediction: Good data, wisdom of the crowd, recalibration. F1000 Res. 5:2671 (2016)