Abstract
Many scientific problems reduce to modeling the relationship between two sets of variables. Regression methodology is designed to quantify these relationships. Recursive Partitioning is a statistical technique that forms the basis for two classes of nonparametric regression methods: Classification and Regression Trees (CART) and Multivariate Adaptive Regression Splines (MARS). Although relatively new, these methods have a growing number of applications, particularly in the health sciences, as a result of increasing complexity of study designs and data structures.
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© 1999 Springer Science+Business Media New York
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Zhang, H., Singer, B. (1999). Introduction. In: Recursive Partitioning in the Health Sciences. Statistics for Biology and Health. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-3027-2_1
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DOI: https://doi.org/10.1007/978-1-4757-3027-2_1
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4757-3029-6
Online ISBN: 978-1-4757-3027-2
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