This month we'll look at classification and regression trees (CART), a simple but powerful approach to prediction 3. Unlike logistic and linear regression, CART does not develop a prediction equation.

Course Topics Classification and regression tree (CART) methods are a class of data mining techniques which constitute an alternative approach to classical regression. CART methods are frequently used ...

A total of 293 patients were analyzed. The CART identified seven cohorts of patients from baseline demographic and laboratory characteristics. The model had an area under the receiver operating curve ...

Classification and regression trees are ideally suited for the analysis of complex ecological data. For such data, we require flexible and robust analytical methods, which can deal with nonlinear ...

Original article Self-efficacy and risk of persistent shoulder pain: results of a Classification and Regression Tree (CART) analysis Rachel Chester 1, Mizanur Khondoker 2, Lee Shepstone 2, Jeremy S ...

Regression trees facilitated insights into the significance of uncertain factors and decision variables combinations on system performance. Additionally, they create highly interpretable framework ...

A method is developed for obtaining tree-structured relative risk estimates for censored survival data. The first step of a full likelihood estimation procedure is used in a recursive partitioning ...