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 in ...
Atrasentan (ABT-627, ATN) pharmacokinetics (PK) and endothelin-1 (ET-1) pharmacodynamics (PD) in a phase 2 study of patients with asymptomatic hormone-refractory prostate cancer (HRPC) Conclusions: ...
Correspondence to Dr Rachel Chester, School of Health Sciences, Faculty of Medicine and Health Sciences, University of East Anglia, Norwich NR4 7TJ, UK; r.chester{at}uea.ac.uk Objectives To (i) ...
Several approaches can be taken to predict case membership in the classes of a dependent variable. Classification and regression trees (CART) analysis has been cited repeatedly as a powerful ...
Objective: To determine whether classification tree techniques used on survey data collected at enrollment from older adults in a Medicare HMO could predict the likelihood of an individual being in a ...
Clinical Calculator for Predicting Freedom From Recurrence After Resection of Stage I-III Colon Cancer in Patients With Microsatellite Instability Systemic therapy with atezolizumab and bevacizumab ...
This online data science course will explore concepts in statistical modeling, such as when to use certain models, how to tune those models, and determining whether other options will provide certain ...
This is a preview. Log in through your library . Abstract Nonproportional hazards often arise in survival analysis, as is evident in the data from the International Non-Hodgkin's Lymphoma Prognostic ...
Decision trees are a simple but powerful prediction method. Figure 1: A classification decision tree is built by partitioning the predictor variable to reduce class mixing at each split. Figure 2: ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results
Feedback