Sentence examples for best predictive variable from inspiring English sources

However, the separate analysis by groups showed that the model was met only in the case of DD patients, and that caffeine consumption was the best predictive variable.

We made three sets of models to detect the best predictive variable between absolute sodium level, change in sodium level, and percent change in sodium level.

In our univariate analyses, we also showed that continuous coded PCA3 was the best predictive variable for the detection of any PCa (AUC = 0.701) and prostate volume was slightly better to detect HGPCa (AUC = 0.723) than continued coded PCA3 (AUC = 0.685).

The best predictive variables of initial status in critical thinking were without clinical experience and a higher pre-test score.

Phosphorus (total and soluble reactive phosphate), dissolved inorganic nitrogen, epilimnion temperature, photoperiod and euphotic depth were among the best predictive variables, contributing for at least 10% in the models, and their relative contribution varied in accordance with the ecological traits of the taxa considered.

ROC curve analysis was also used to define the best predictive variables.

We applied a backward elimination stepwise procedure for the choice of the best predictive variables according to the Akaike information criterion (AIC).

We then grouped our best predictive variables into a single model for which we additionally quote R2, the correlation coefficient which gives an effect size (i.e. to what extent the change seen can be ascribed to the variables in the model; an R2 of 0.11 implies that it contributes 11% of the change).

One hundred and fifty patients with cutaneous malignant melanoma, in clinical stage I at diagnosis, were studied prospectively to determine the lymph nodal metastatic pattern of the disease, and to find that combination of clinical and pathological variables best predictive of the probability of its occurrence when combined in a linear logistic regression equation based upon a model by Cox.

We applied neural networks (NN) to approximate the nonlinear projection from original input space into low-dimensional space found by Isomap, followed by the sensitivity analysis to choose the best subset of predictive variables in the input space.

Using all available variables the best predictive model of V included Hsd, PCveg and stand density (S) in the following formulation, V = 7.08 + 0.0690 H sd − 0.0423 P C veg + 0.893 1 − exp − 0.00691 S (6).