Sentence examples for variables in the prediction of from inspiring English sources

The results of this study add to a growing literature highlighting the prognostic value of psychological variables in the prediction of post-surgical health outcomes.

ROC curves were based on the sensitivity and specificity of significant variables in the prediction of awakening and are shown in Fig. 1.

But, the results in this paper show that the relative humidity and temperature are the main metrological variables in the prediction of NO2 and NO x concentrations and the wind importance for NO2 and NO x modeling approximately is 7%.

Among these, the variable importance plot (VIP) and percent increase in mean squared error (MSE) provide relative importance of the independent variables in the prediction of the dependent variable.

The present study demonstrated the use of Box Behnken design as data analysis approach to understand the effect of various formulation variables in the prediction of PDE and PS of exe-loaded cPCL NPs.

Thus, multiple regression analysis provides a means of assessing the degree and the character of the relationship between the independent variables and the dependent variable; the regression coefficients indicate the relative importance of each of the independent variables in the prediction of the dependent variable (Sekaran and Bougie 2013).

The aim was to identify the independent involvement of each variable in the prediction of the treatment outcome.

Furthermore, change in BD over time is an important variable in the prediction of outcome following hypovolemic post-traumatic shock.

The optimal cutoff point for each anthropometric variable in the prediction of a given cardiometabolic outcome was established based on the highest combination of sensitivity and specificity.

The data provided confirm many previously published findings but also allowed an analysis of the case mix data to evaluate relative performance of each physiological variable in the prediction of maternal death.

The other statistics presented are the unstandardized (B) regression coefficients, the standard error of regression coefficients (SE B), and the standardized beta regression coefficients at Step 2. The estimated β coefficients indicate the relative contribution of each independent variable in the prediction of the dependent variable (agitation).