Regression trees for predicting mortality in patients with cardiovascular disease: What improvement is achieved by using ensemble-based methods?
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Publication:2919467
DOI10.1002/bimj.201100251zbMath1400.62244OpenAlexW1926248049WikidataQ36315061 ScholiaQ36315061MaRDI QIDQ2919467
Jack V. Tu, Douglas S. Lee, Ewout W. Steyerberg, Peter C. Austin
Publication date: 2 October 2012
Published in: Biometrical Journal (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/bimj.201100251
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Uses Software
Cites Work
- Boosting algorithms: regularization, prediction and model fitting
- Clinical prediction models. A practical approach to development, validation, and updating.
- Additive logistic regression: a statistical view of boosting. (With discussion and a rejoinder by the authors)
- Regression modeling strategies. With applications to linear models, logistic regression and survival analysis
- The elements of statistical learning. Data mining, inference, and prediction
- Random forests
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