The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Multiple additive regression trees with application in epidemiology
Abstract
Predicting future outcomes based on knowledge obtained from past observational data is a common application in a wide variety of areas of scientific research. In the present paper, prediction will be focused on various grades of cervical preneoplasia and neoplasia. Statistical tools used for prediction should of course possess predictive accuracy, and preferably meet secondary requirements such as speed, ease of use, and interpretability of the resulting predictive model. A new automated procedure based on an extension (called ‘boosting’) of regression and classification tree (CART) models is described. The resulting tool is a fast ‘off‐the‐shelf’ procedure for classification and regression that is competitive in accuracy with more customized approaches, while being fairly automatic to use (little tuning), and highly robust especially when applied to less than clean data. Additional tools are presented for interpreting and visualizing the results of such multiple additive regression tree (MART) models. Copyright © 2003 John Wiley & Sons, Ltd.
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Cites
Greedy function approximation: A gradient boosting machine
Friedman, J. H. (2001) · The Annals of Statistics · doi:10.1214/aos/1013203451 · Cited by 30,731
Self-citationClassification and Regression Trees.
Ryzin, J. V., Breiman, L., Friedman, J. H., Olshen, R. A., & Stone, C. J. (1986) · Journal of the American Statistical Association · doi:10.2307/2288003 · Cited by 20,825
Self-citationClassification and regression trees
Praagman, J. (1985) · European Journal of Operational Research · doi:10.1016/0377-2217(85)90321-2 · Cited by 10,053
Friedman, J., Hastie, T., & Tibshirani, R. (2000) · The Annals of Statistics · doi:10.1214/aos/1016218223 · Cited by 6,884
Self-citationCART: Classification and Regression Trees
(2009) · The Top Ten Algorithms in Data Mining · doi:10.1201/9781420089653-17 · Cited by 163
(1996)
Cited by
A working guide to boosted regression trees
Elith, J., Leathwick, J. R., & Hastie, T. (2008) · Journal of Animal Ecology · doi:10.1111/j.1365-2656.2008.01390.x · Cited by 6,484
Ridker, P. M., Buring, J. E., Rifai, N., & Cook, N. R. (2007) · JAMA · doi:10.1001/jama.297.6.611 · Cited by 1,814
Zhang, Y., Chen, H. Y. H., & Reich, P. B. (2012) · Journal of Ecology · doi:10.1111/j.1365-2745.2011.01944.x · Cited by 799
Error and uncertainty in habitat models
BARRY, S., & ELITH, J. (2006) · Journal of Applied Ecology · doi:10.1111/j.1365-2664.2006.01136.x · Cited by 657
Leathwick, J. R., Elith, J., & Hastie, T. (2006) · Ecological Modelling · doi:10.1016/j.ecolmodel.2006.05.022 · Cited by 451
Metadata
- Authors
- Friedman, J. H., & Meulman, J. J.
- Venue
- Statistics in Medicine
- Publisher
- Wiley
- Published
- 2003-04-14
- Volume
- 22
- Issue
- 9
- Pages
- 1365-1381
- ISSN
- 0277-6715 (ISSN-L)
- 1097-0258
- OpenAlex
- W2125223451
- Cited by
- 786
- References
- 6
- FWCI
- 2.61
- Type
- journal article
- Language
- en
- Open access
- closed
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