Sentence examples for method variables are from inspiring English sources

In the stepwise method, variables are added one by one to the model and the F statistic for a variable to be added must be significant at the SLENTRY = level.

In this method, variables are successively added to the model based on the higher F to enter values; variable addition ceases when the F-ratio is no longer significant.

Using a Forward Stepwise Likelihood ratio selection method, variables were tested for significance.

We then searched for possible confounding variables using multivariate analysis and a forward stepwise method; variables were entered into the equation if the significance of the association on univariate analysis, P, was <0.1.

Because of the data reduction approach used for index construction (principal components analysis (PCA), discussed in detail below), and the statistical assumptions implied by this method, variables were assessed for normality.

The logcontrast method deals with this by discarding one variable; in the FA method four variables are excluded from the TA20 score estimator, avoiding the singularity issue in a similar way to logcontrast.

The effects lingered into the 1980s.Once just an obscure statistical method, instrumental variables are now popping up all over the place.

Since LDA is a supervised method, grouping variables are necessary for the early classification of the samples to maximize the separation of the groups.

To formally define our method, some variables are introduced in advance.

In this method, correlated variables are grouped together and PCA creates uncorrelated indices or components, whereby each component is a linear weighted combination of the initial variables.

Detailed descriptions of the QHS methods and variables are available elsewhere [ 24].