Classification and regression tree analysis in public health: methodological review and comparison with logistic regression.

@article{Lemon2003ClassificationAR,
  title={Classification and regression tree analysis in public health: methodological review and comparison with logistic regression.},
  author={Stephenie C. Lemon and Jason Roy and Melissa A. Clark and Peter D Friedmann and William Rakowski},
  journal={Annals of behavioral medicine : a publication of the Society of Behavioral Medicine},
  year={2003},
  volume={26 3},
  pages={172-81}
}
BACKGROUND Audience segmentation strategies are of increasing interest to public health professionals who wish to identify easily defined, mutually exclusive population subgroups whose members share similar characteristics that help determine participation in a health-related behavior as a basis for targeted interventions. Classification and regression tree (C&RT) analysis is a nonparametric decision tree methodology that has the ability to efficiently segment populations into meaningful… CONTINUE READING
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