Risk prediction with machine learning and regression methods

DOI10.1002/bimj.201300297zbMath1441.62503OpenAlexW1879406984WikidataQ45957547 ScholiaQ45957547MaRDI QIDQ2875754

Ben van Calster, Ewout W. Steyerberg, Tjeerd van der Ploeg

Publication date: 11 August 2014

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/bimj.201300297

zbMATH Keywords

predictionregressionmachine learning

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (2)

Rejoinder ⋮ Probability estimation and machine learning-Editorial

Uses Software

• rms

Cites Work

• Clinical prediction models. A practical approach to development, validation, and updating.
• Statistical modeling: The two cultures. (With comments and a rejoinder).
• Probability estimation with machine learning methods for dichotomous and multicategory outcome: Theory
• Probability estimation with machine learning methods for dichotomous and multicategory outcome: Applications
• Regression trees for predicting mortality in patients with cardiovascular disease: What improvement is achieved by using ensemble-based methods?
• Multivariable Model‐Building
• Regression modeling strategies. With applications to linear models, logistic regression and survival analysis
• Unnamed Item

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