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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.
When positive pegulicianine signal was detected, the tissue was resected with a cavity shave procedure. [3] The study assessed the proportion of participants receiving pegulicianine who had residual cancer detected and removed after the standard of care lumpectomy. [ 3 ]
In particular, an increased false positive rate has been observed in adults with psychosis; [11] while case reports indicate that such false positives may also occur in cases of childhood-onset schizophrenia, which is an exceptionally rare entity with a frequency of 1 in 40000. [12]
Use of efavirenz can produce a false positive result in some urine tests for marijuana. [17] [18] Efavirenz may lengthen the QT interval so should not be used in people with or at risk of torsades de pointes. [19] Efavirenz may cause convulsions in adult and pediatric populations who have a history of seizures. [3]
A false positive Covid-19 test result can happen, but it’s rare, says Brian Labus, Ph.D., M.P.H., assistant professor at the University of Nevada Las Vegas School of Public Health.
Cross-reactivity, in a general sense, is the reactivity of an observed agent which initiates reactions outside the main reaction expected.This has implications for any kind of test or assay, including diagnostic tests in medicine, and can be a cause of false positives.
Serological assays may give a false positive result, causing the individual to appear to have seroconverted when the individual has not. False positives can occur due to the test reacting to, or detecting, an antibody that happens to be sufficiently similar in structure to the target antibody.
The false positive rate is = +. where is the number of false positives, is the number of true negatives and = + is the total number of ground truth negatives.. The significance level used to test each hypothesis is set based on the form of inference (simultaneous inference vs. selective inference) and its supporting criteria (for example FWER or FDR), that were pre-determined by the researcher.