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We then optimized the sensitivities over the thresholds to obtain the maximal sensitivity for every specificity, average risk, and proportion of variance explained.
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To be said to have good discrimination, a model should have a statistical value of ≥ 0.7 from the ROC test, that is the area under the ROC curve should be large so that for every increase in specificity you move closer to a high sensitivity [ 16].
For tuberculosis, we opted for specificity.
Values of 88.6 for sensitivity and 88.4 for specificity were obtained by 10fold crossvalidation.
SPIDER searches showed greatest specificity for every database.
Therefore, it is very critical to evaluate the specificity for every antibody to be utilized clinically.
Test sensitivity was plotted against 1 − specificity for every tested threshold and the area under the curve (AUC) was calculated.
This sensitivity was at the cost of reduced specificity: for every true hypopnoea detected there were approximately four false detections.
ROC curves are built by calculating sensitivity and specificity for every possible cutoff between the positive (here susceptible) and negative (here resistant) samples.
3 Total number in age group The sensitivity and specificity for every possible threshold decision rule was calculated to plot a receiving operational characteristic (ROC) curve for a single feature.
Product specificity for every pair of primers was confirmed by sequencing and the efficiency of the primer sets, within the range of requested DNA amplification, assessed and optimal efficiency established (2.00 ± 5%).
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