... that have complementary strengths and limitations: classification and regression tree (CART) analysis and logistic regression. CART is a nonparametric method that uses recursive partitioning to search through all potential predictors and their cutoff values to identify those whose associated threshold level...

... was defined as any self-reported difficulty with walking approximately 1/4 mile (prevalence: 12.6% men, 26.4% women). Sex-stratified classification and regression tree (CART) models with 10-fold cross-validation identified walking speed cut-points that optimally discriminated those who reported mobility...

...) from New York State (NYS) Medicaid data, 2006–2014. CART, classification and regression tree; HIV, human immunodeficiency virus; NPV, negative predictive value; PPV, positive predictive value. Correspondence to Sarah E. Macinski, Bureau of HIV/AIDS Epidemiology, AIDS Institute, New York State...

... inform possible improvements to the synthesis method. Classification and regression trees Disclosure control Privacy Propensity score Synthetic data Utility National Science Foundation 10.13039/100000001 IGERT DGE-1144860 Department of Statistics, Pennsylvania State University 10.13039...

..., classification and regression tree; FIPS, Federal Information Processing Standards; HER2, human epidermal growth factor receptor 2; HR, hormone receptor; NCI, National Cancer Institute; RCI, relative concentration index; SEER, Surveillance, Epidemiology, and End Results; SES, socioeconomic status. 18 02 2016...

.... The pairs were matched exactly for 130 four-digit ninth international classification of diseases surgical procedure codes and balanced 172 observed covariates. The pairs were then split into five groups of pairs by the classification and regression trees method in its effort to locate effect modification...

..., and supervised discrimination methods, such as linear and quadratic discriminant analysis, and classification and regression trees (CART), were applied to evaluate the existence of data patterns and the relationship between geographical origin and the measured parameters. The model with the best predictive...

...—the generalized linear model (GLM), classification and regression tree (CART) and Random Forests—were selected and were processed on the BIOMOD platform. The presence/absence data of T. ramosissima in the Tarim Basin, which were calculated from vegetation maps, were used as response variables...

... of the classification and regression tree (CART) method by Breiman et al. ( 1984 ), which successfully addresses tree size selection and many other practical issues. The pruning idea in the CART method has become and remains the current standard in determining the optimal tree size. Applying tree methods...

... incidence of RRV in the coastline area, whereas Aedes vigilax, Culex annulirostris, and Aedes notoscriptus (Skuse) were significantly associated with the monthly incidence of RRV in the inland area. The results of the classification and regression tree (CART) analysis show that both...

... appearing in the next fewest, and so forth, until only one model remained. In most cases this was the model with the lowest AIC. Habitat relationships—CART models. As an alternative to standard regression, we also employed CART (classification and regression trees; Breiman et al. 1984...

... clustering algorithm which has features that are in common with both Ward's agglomerative algorithm and classification and regression trees. We analyse British Household Panel Survey data on the employment and family trajectories of women. Our method produces clusters of sequences for which...

... the influences of ecological and anthropogenic variables on probability of modern fire occurrence in the Mark Twain National Forest (MTNF), Missouri, using classification and regression tree (CART) and logistic regression analyses. Models were developed for five classes of fire size. Although CART distinguished...

... in the first postoperative day than to ppoFEV1 value. Thoracic surgical procedures Lung volume measurements Postoperative care Postoperative pain Classification and regression trees Although ppoFEV1% figures after lung resection have a high correlation with measured 3–6 months after the operations [1...

... per 100 mosquitoes per trap) were most strongly associated with RRV transmission at a lag of 1 mo. Classification and regression tree (CART) analyses indicate that the occurrence of RRV was associated with an average monthly mosquito abundance of Aedes vigilax above 72 and Cx...

...George Petrakos; Claudio Conversano; Gregory Farmakis; Francesco Mola; Roberta Siciliano; Photis Stavropoulos Classification and regression trees Data editing Data quality Fast partitioning algorithm Object-oriented analysis Total quality management TREEVAL Address for correspondence...

...Michelle A. Johnson; C. Hendricks Brown; Susan J. Wells Using classification and regression trees (CART) to support worker decision making Michelle A. Johnson, C. Hendricks Brown, and Susan J. Wells Several approaches can be taken to predict case epending...

...%. The classification tree criteria for the diagnosis and prognosis of PH in MCTD were found to be accurate and useful for the screening of PH. mixed connective tissue disease pulmonary hypertension classification and regression trees REFERENCES Sharp   GC , Irvin   WS , Tan EM et al: Mixed...

... on classification and regression trees (CART), using both discrete and continuous variables. Data on Ixodes ricinus (L.) occurrence resulted from extensive sampling carried out by standard methods in 99 sites over an area of ≍2,700 km² in the Province of Trento. A series of environmental...

... are then illustrated by means of one particular class of data mining techniques: the recursive partitioning methods classification and regression trees, bagging and random forests. In the end of the chapter an outlook on other popular data mining techniques as well as a short literature and software guide are given...