A Predictive Model of Rectal Tumor Response to Preoperative Radiotherapy Using Classification and Regression Tree Methods

2005 ◽  
Vol 11 (15) ◽  
pp. 5440-5443 ◽  
Author(s):  
Inti Zlobec ◽  
Russell Steele ◽  
Nilima Nigam ◽  
Carolyn C. Compton
Keyword(s):  
Predictive Model ◽  
Tumor Response ◽  
Preoperative Radiotherapy ◽  
Regression Tree ◽  
Rectal Tumor ◽  
Classification And Regression Tree ◽  
Tree Methods ◽  
Classification And Regression

Applications of Classification and Regression Tree Methods in Roadway Safety Studies

1996 ◽  
Vol 1542 (1) ◽  
pp. 1-5 ◽  
Author(s):  
J. Richard Stewart
Keyword(s):  
Regression Model ◽  
Regression Tree ◽  
Classification And Regression Tree ◽  
Response Variable ◽  
Continuous Response ◽  
Complex Interactions ◽  
Roadway Safety ◽  
Safety Studies ◽  
Tree Methods ◽  
Classification And Regression

In recent years a number of nonparametric regression-type statistical procedures have been developed. Classification and regression trees (CART) is one such method that can be used as a classifier for a discrete-valued response variable or as a regression model for a continuous response variable. Advantages of CART over many other methods are its ability to include a relatively large number of independent variables and to identify complex interactions among these variables. A brief description of the CART procedure is given, and its application as a classifier and as a regression model to highway safety analyses is illustrated.

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