Sentence examples for clusters of predictors from inspiring English sources

The result is a scatterplot which identifies clusters of predictors that are closely associated, with clusters farther from the intersection of the axes having stronger associations.

The values of the outcome variables were also projected on the same axes to determine which clusters of predictor variable values were associated with the outcomes of interest [ 21].

The Wilma algorithm works in a greedy forward strategy and optimizes a combination of the Wilcoxon and Margin statistics for finding clusters of predictor variables (supclust package in R).

During the maintenance phase, the conceptually-based clusters of predictor variables accounted for 13% of the variance in predicting frequency of physical activity; however, this estimate increased to 46% when adding attendance to center-based visits to the model for the transition phase.

Compared to other non-rheumatic thoracic pain, CWS has few distinctive characteristics but the clustering of predictors led to a more precise picture.

dThe independent contribution of each cluster of predictors to the variation in annual hospitalization was calculated as individual corresponding R change/total R change in the final model × 100%.

dThe independent contribution of each cluster of predictors to the variation in two-week physician visit was calculated as individual corresponding R change/total R change in the final model × 100%.

A generalized estimating equations model was used to adjust for clustering of the predictors (severity of body areas affected, symptom severity, and percentage of body surface area affected).

To allow for the clustering of certain predictors at the level of 749 postcode sectors, the postcode sector is entered as a random effect.

This loading plot shows the clustering of the predictor variables and the dependent variables, indicating the strength of the association (covariance) between changes in neuronal power with changes in the individual TQ scores.

If we would determine the associations between more than 10 potential child abuse risk factors and true child abuse, we will need to reduce the number of predictors by cluster analysis.