Sentence examples for guide variable from inspiring English sources

The univariate p-values should be interpreted as indicators of variable importance to guide variable selection, not as traditional hypothesis tests of statistical significance.

The discriminatory power of the model was assessed using the area under the receiver operating characteristic curve (AUC), or C statistic; however, this model diagnostic was not used to guide variable selection into the propensity score model.

Alternative methods to stepwise variable selection include use of full er) models which leave non-significant variables in the model, expert knowledge to guide variable selection and automated approaches such as Lasso and Least Angle Regression (LAR) methods [ 28].

The Behavioral Model of Health Services Utilization (BHSU) [ 13] was the theoretical basis for the study and guided variable selection.

We believe this is the first application of cluster analysis to an epidemiological study of encephalitis, and a novel approach to simultaneously displaying the distribution of variables and the clustering of cases and variables, and guiding variable selection.

Both a theoretical basis and Suhr's recommendations (variables on same factors share conceptual meanings and variables on different factors differ conceptually) guided variable selection and interpretation of factors [ 16].

fMRI data were collected while 11 participants with moderate/severe right knee OA (6 male, 69 ± 6 (mean ± SD) years) and seven asymptomatic controls (5 male, 64 ± 6 years) performed three visually guided, variable force, force matching motor tasks involving isolated isometric muscle contractions of: 1) quadriceps (knee), 2) tibialis anterior (ankle) and, 3) finger/thumb flexor (hand) muscles.

We develop a set of multiple linear regression models, using principal component analysis to guide independent variable selection, to estimate current, altered streamflow from a full range of both natural and anthropogenic basin characteristics.

This method is appropriate especially in problems where, a high dimensional input necessitates the use of a sparse method and a target label is also available to guide the variable selection strategy.

We used the conceptual framework to guide the variable selection for the adjusted analysis in this study.

Implied and observed patterns can then be compared to detect inconsistencies and so guide adjustment-variable selection.