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Tree-Structured Statistical Methods

  1. Heping Zhang1,
  2. John Crowley2,
  3. Harold C. Sox3,
  4. Richard A. Olshen Jr4

Published Online: 15 JUL 2005

DOI: 10.1002/0470011815.b2a13090

Encyclopedia of Biostatistics

Encyclopedia of Biostatistics

How to Cite

Zhang, H., Crowley, J., Sox, H. C. and Olshen, R. A. 2005. Tree-Structured Statistical Methods. Encyclopedia of Biostatistics. 8.

Author Information

  1. 1

    Yale University, New Haven, CT, USA

  2. 2

    Fred Hutchinson Cancer Research Center, Seattle, WA, USA

  3. 3

    Dartmouth-Hitchcock Medical Center, Lebanon, NH, USA

  4. 4

    Stanford University, Stanford, CA, USA

Publication History

  1. Published Online: 15 JUL 2005


In this article, we describe the binary tree-structured methods and illustrate the methods with applications in biomedical research. The methods include decision trees, regression trees, survival trees, and trees for a vector response. We also provide information with regard to the software.


  • decision trees;
  • survival trees;
  • classification recursive partitioning;
  • disease diagnosis and prognosis