Sentence examples for each of the predictive from inspiring English sources

The previously developed score was derived using logistic regression, assigning points to each of the predictive findings included in the model according to the strength and direction of the association with smear negative TB [17], and optimal cut-off points were identified with ROC analysis.

Validation of the prognostic scores was performed using standard tests to measure discrimination and calibration for each of the predictive models.

Since each of the predictive methods has its own bias and coverage [ 18], the resulted datasets have just reflected certain aspects of the genome-wide protein protein interactions in Arabidopsis thaliana.

The sequences of the identified markers were compared with eleven known Legionella genomes, using BlastN and BlastX; the functionality for each of the predictive markers was checked in the literature.

Different models were tested to compare the impact of PCT or sepsis score inclusions or not and areas under the ROC curves (AUC) were calculated both for the models and for each of the predictive variables, to compare if one model has one a better sensitivity/specificity than PCT or sepsis score alone.

Table 3 shows the p values for each coefficient of the predictive variables in the linear regression model when 2000 samples from dataset 1 are used as input.

The significance of each term of the predictive model was evaluated by p values using a 0.05 significance level; and smaller the p value the more significant are the corresponding term.

First, the TB biomarker set identified in this manuscript was applied to the literature cohorts [ 4- 6] and the biomarker sets identified in the literature cohorts were applied to each other for estimation of the predictive value of each identified set in the other populations.

In this section, application of each of the three predictive methods of ACE, SVR, and PLCM in estimating the amount of asphaltene precipitation is described followed by a description on input/output data space used in this study.

The AUC for each of the two predictive biomarkers indicated excellent diagnostic accuracy (Table 2).

Each death was spatially assigned to a radon vulnerability class for each of the eight predictive maps.