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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.
A drug test (also often toxicology screen or tox screen) is a technical analysis of a biological specimen, for example urine, hair, blood, breath, sweat, or oral fluid/saliva—to determine the presence or absence of specified parent drugs or their metabolites.
The false positive rate (false alarm rate) is = + [1]. where is the number of false positives, is the number of true negatives and = + is the total number of ground truth negatives.
New York’s prison system unfairly punished more than 2,000 prisoners after tests of suspected contraband substances falsely tested positive for drugs, according to a report released Thursday.
One consequence of the high false positive rate in the US is that, in any 10-year period, half of the American women screened receive a false positive mammogram. False positive mammograms are costly, with over $100 million spent annually in the U.S. on follow-up testing and treatment. They also cause women unneeded anxiety.
In medical testing with binary classification, the diagnostic odds ratio (DOR) is a measure of the effectiveness of a diagnostic test. [1] It is defined as the ratio of the odds of the test being positive if the subject has a disease relative to the odds of the test being positive if the subject does not have the disease.
In the most basic sense, there are four possible outcomes for a COVID-19 test, whether it’s molecular PCR or rapid antigen: true positive, true negative, false positive, and false negative.
Diagram depicting a representative pan-assay interference compound. The drug-like molecule specifically interacts with target B, but the PAINS-like compound non-specifically interacts with multiple targets. Pan-assay interference compounds (PAINS) are chemical compounds that often give false positive results in high-throughput screens. [1]