Sentence examples for category sensitivity from inspiring English sources

Exact(3)

This study was designed to characterize the effects of early deafness and lifelong sign language use on visual category sensitivity of the N170 event-related potential.

Classic N170 category sensitivity was observed in both participant groups, whereby faces elicited larger amplitudes than all other visual categories, and inverted faces elicited larger amplitudes and slower latencies than upright faces.

Using medical records as the gold standard in the medical condition category, sensitivity ranged from 50.0% to 86.0% and specificity from 95.9% to 99.5%.

Similar(57)

For analytic purposes, the term 'All hormone (AH)' incorporates all of the above categories; sensitivity analysis reports on the differences between categories.

Similarly the communicable disease categories', sensitivity (82%) and specificity (78%); and the non communicable disease categories' sensitivity (71%) and specificity (87%) were very similar to ours findings [ 9].

So make sure you understand your category's sensitivity to creativity before you commission that high-priced category-redefining campaign.

For the 'Positive Alone' category, the sensitivity (45.3%) and positive predictive value (77.4%) were substantially lower.

For the 'Negative Alone' category, the sensitivity was 92.7%, specificity 91.1%, positive predictive value 93.3%, and negative predictive value 90.3%.

For each classification category, the sensitivity, specificity, positive predictive value and F-measure of individual symptoms and combinations of symptoms were calculated within the training set.

The system for detainees to access healthcare may be different from that of other individuals within the asylum seeker category, thus sensitivity analysis excluding them from the data set was also undertaken.

Although the meta-analysis detected some statistical heterogeneity among studies (in particular, in the short sleep category), further sensitivity analysis and the absence of publication bias are in favor of similar effects across populations.

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