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Updated: May 2, 2026

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
Risk prediction with machine learning and regression methods
Ewout W Steyerberg1, Tjeerd van der Ploeg, Ben Van Calster
1Department of Public Health, Erasmus MC, Rotterdam, The Netherlands.
Abstract:
This is a discussion of issues in risk prediction based on the following papers: "Probability estimation with machine learning methods for dichotomous and multicategory outcome: Theory" by Jochen Kruppa, Yufeng Liu, Gérard Biau, Michael Kohler, Inke R. König, James D. Malley, and Andreas Ziegler; and "Probability estimation with machine learning methods for dichotomous and multicategory outcome: Applications" by Jochen Kruppa, Yufeng Liu, Hans-Christian Diener, Theresa Holste, Christian Weimar, Inke R. König, and Andreas Ziegler.
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