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The false positive rate is calculated as the ratio between the number of negative events wrongly categorized as positive (false positives) and the total number of actual negative events (regardless of classification). The false positive rate (or "false alarm rate") usually refers to the expectancy of the false positive ratio.
Quantiferon-TB Gold In-Tube , the third generation test, has replaced Quantiferon-TB (QFT) and Quantiferon-Gold, which are no longer marketed. According to the U.S. Centers for Disease Control , [ 2 ] in 2001, the Quantiferon-TB test (QFT) was approved by the Food and Drug Administration (FDA) as an aid for detecting latent Mycobacterium ...
9H — isoniazid for 9 months is the gold standard (93% effective, in patients with positive test results and fibrotic pulmonary lesions compatible with tuberculosis [31]). 6H — Isoniazid for 6 months might be adopted by a local TB program based on cost-effectiveness and patient compliance.
In a recently published metaanalysis, [26] with data from both developed and developing countries, QuantiFERON-TB Gold In Tube had a pooled sensitivity for active TB of 81% and specificity of 99.2%, whereas T-SPOT.TB had a pooled sensitivity of 87.5% and specificity of 86.3%. In head-to-head comparisons, the sensitivity of IGRAs surpassed TST.
The log diagnostic odds ratio can also be used to study the trade-off between sensitivity and specificity [5] [6] by expressing the log diagnostic odds ratio in terms of the logit of the true positive rate (sensitivity) and false positive rate (1 − specificity), and by additionally constructing a measure, :
The false positive rate (FPR) is the proportion of all negatives that still yield positive test outcomes, i.e., the conditional probability of a positive test result given an event that was not present. The false positive rate is equal to the significance level. The specificity of the test is equal to 1 minus the false positive rate.
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The positive predictive value (PPV), or precision, is defined as = + = where a "true positive" is the event that the test makes a positive prediction, and the subject has a positive result under the gold standard, and a "false positive" is the event that the test makes a positive prediction, and the subject has a negative result under the gold standard.
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