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32) Which one of the following best describes test specificity?

The proportion of people without the disease who have a negative test result. The proportion of people with the disease who have a positive test result. The probability that someone with a negative test result does not have the disease. The probability that someone with a positive test result has the disease. The odds of having the disease when the test result is negative.

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• Specificity (%) = 100 ×

• Highly specific tests are used to rule-in a diagnosis, as these tests are unlikely to yield false-positive results.

• Sensitivity is the proportion of diseased individuals with a positive test result.

• The positive predictive value is the probability that someone with a positive test result actually has the disease.

• The negative predictive value is the probability that someone with a negative test result does not have the disease.

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Clinical Pathology: General Principles, Lab Management, Clinical Chemistry

32) Which one of the following best describes test specificity?

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