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true negative

   Also found in: Dictionary/thesaurus, Legal, Acronyms, Encyclopedia, Wikipedia 0.01 sec.
specificity 
The extent to which a test gives results that are free from false positives (i.e. people found to have the defect when they are actually free of it). The fewer the number of false positives, the greater is the specificity of the test. It is usually presented as the percentage of people truly identified as not defectives, or normal, referred to as true negatives, D (or correct reject), divided by the total number of not defectives or normal people tested. The total number includes all the true negatives, D, plus the false positives, B (or false alarm). Hence
See sensitivity.

true negative
Statistics A negative test result, that accurately reflects the tested-for activity of an analyte


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The present data were calculated using the formulas: Sensitivity = TP/(TP + FN) 100% and Specificity = TN/(TN + FP) 100%: Where TN represents true negative, TP true positive, FN false negative and FP false positive.
Predictive Values Depend on the Prevalence of Influenza in the Community Off Season Height of Influenza Season Prevalence of Influenza 1,000/100,000 25,000/100,000 (1%) (25%) Individuals affected 1000 25,000 Individuals not affected 99,000 75,000 Kit sensitivity 80% 80% Kit specificity 97% 97% True positives 800 20,000 False positives 2970 2250 True negatives 96,030 72,750 False negatives 200 5000 Positive predictive value (PPV) 21.
[18F]fluorocholine combined in-line positron emission tomography-computerized tomography was true positive in 1, false-positive in 2, false-negative in 9 and true negative in 8 patients.
 
 
 
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