Sentence examples for measures as predictor from inspiring English sources

Whereas [1] only included local and distance measures as predictor variables, our results show that local variables function best for predicting the verdict while distance and network feedback variables do a better job of explaining sentence length.

This discrepancy score will be used as the dependent variable in a multiple linear regression model with the 4 executive control measures as predictor variables.

Finally, to investigate the possibility that auditory comprehension performance was influenced by lesion location, we conducted additional voxel-based lesion-symptom mapping analyses using auditory single word and sentence comprehension measures as predictor variables.

Here, we consider several centrality measures as predictor features in a classification algorithm to identify nodes of resting-state networks containing predictive information that can discriminate between typical developing children and patients with attention-deficit/hyperactivity disorder (ADHD).

Total score on the external eating subscale of the Dutch Eating Behaviour Questionnaire will be used as the dependent variable in a multiple linear regression model with the 4 executive control measures as predictor variables to determine whether eating in response to external cues is more prevalent in those with weak executive control.

The importance of this variation in determining the appropriateness of using NWB and AMTI to measure sway is unknown, but needs examination in future studies as it might influence the usefulness of NWB and AMTI measures as predictor of injuries or risk of falls.

Regression analyses identified several functional performance measures as predictors of these dangerous choices.

We then used our cognitive measures as predictors in a multiple regression model to predict low prevalence accuracy.

Graser et al. [8] and [9] suggest the usage of different road network centrality measures as predictors for link traveling speed.

This review highlights the evidence supporting symptom control and quality-of-life (QOL) measures as predictors of survival in treatment-refractory metastatic colorectal cancer (mCRC) and describes a composite symptom control and QOL end point recently reported in a Phase III trial that may serve as a more reasonable end point of efficacy in this population.

A single imputed estimate was derived based upon the predicted values from each imputation equation using the other 92 individual measures as predictors.