Sentence examples for procedures for variable from inspiring English sources

Although much has been written on developing better procedures for variable selection, there is little research on how it is practiced in actual studies.

The backward and the forward procedures for variable inclusion/exclusion within the logistic regression model determined pharyngeal localisation (P⩽0.001), higher T-stage (P⩽0.001) and CCNL1 copy number gain (P=0.049) as independent predictors for metastasis formation in HNSCC.

For this purpose, several procedures for variables selection, data pretreatments and unsupervised techniques were evaluated.

A genetic algorithm procedure for variable selection was adapted to this problem and implemented.

This result suggests that as an exploratory procedure for variable selection, CART is able to detect important variables and reduce the number of variables for regression model.

Additionally, the BNN approach provides a nonparameteric procedure for variable selection while MANOVA relies on normality of errors for its testing procedure to be valid.

Multivariate analysis of OS was performed by means of the Cox proportional-hazards model using the forward logistic regression (LR) stepwise procedure for variable selection.

To our knowledge, only one methodological article in epidemiology to date has explicitly looked at combining background knowledge in DAGs with a statistical selection procedure for variable selection [ 6].

Because of the excessively large number of input variables available, and the lack of any automated procedure for variable selection, it was decided to reduce the number of inputs to the neural network models by taking principal components of the 20 variables and alternatively by using the variable combinations that had been selected in the corresponding discriminant analyses.

To date there seems to be no consensus on whether it is necessary to include all steps in CV: Some authors postulate that all steps are required to be included [ 9], which seems to be done rarely, regardless; others only suggest this procedure for variable selection [ 3] or more general supervised steps [ 10].

Also described are the procedures used for variable reduction/selection either based on random forests variable ranking, principal components analysis and genetic algorithms.