Question

A rapid test used for diagnosing HIV has a sensitivity of 99.1% and a specificity of 90%. Based on the population prevalence of 2.2% in 2012, create a 2x2 table showing the number of true positives, false positives, false negatives, and true negatives. Calculate the positive predicative value and negative predictive value for this test. Refer to the "Creating a 2x2 Contingency Table" resource for guidance.

Answer 1

Answer:

When a person is not infected with HIV but receives a positive test result, that result is considered a false positive. ... have false-positive results, the HIV test's specificity is 99.6% (996 true negative test results/1,000 HIV uninfected persons tested). ... of true positives far exceeds the number of false positives.