Classification and regression trees for epidemiologic research: an air pollution example

Classification and regression trees for epidemiologic research: an air pollution example

BACKGROUND Identifying and characterizing how mixtures of exposures are associated with health endpoints is challenging. We demonstrate how classification and regression trees can be used to generate hypotheses regarding joint effects from exposure mixtures. METHODS We illustrate the approach by investigating the joint effects of CO, NO2, O3, and PM2.5 on emergency department visits for pedia...

Epidemiologic studies of air pollution.

Classification and regression trees

Bellows TS and Fisher TW (eds.) (1999) Handbook of Biological Control: Principles and Applications of Biological Control. San Diego: Academic Press. Clausen CP (ed.) (1978) Agricultural Research Service: Handbook No. 480: Introduced Parasites and Predators of Arthropod Pests and Weeds: A World Review. Washington, DC: USDA: Agricultural Research Service. DeBach P and Rosen D (1991) Biological Co...

Classification and regression trees

Classification and regression trees are machine-learning methods for constructing prediction models from data. The models are obtained by recursively partitioning the data space and fitting a simple prediction model within each partition. As a result, the partitioning can be represented graphically as a decision tree. Classification trees are designed for dependent variables that take a finite ...

Classification and Regression Trees

The methodology used to construct tree structured rules is the focus of this monograph. Unlike many other statistical procedures, which moved from pencil and paper to calculators, this texts use of trees was unthinkable before computers. Both the practical and theoretical sides have been developed in the authors study of tree methods. Classification and Regression Trees reflects these two sides...