Question:
The diagnostic power of a test to correctly diagnose a disease (the proportion of positive test results that truly have the disease) is:
The diagnostic power of a test to correctly diagnose a disease (the proportion of positive test results that truly have the disease) is:
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Among those who test positive, how many truly have the disease?
Updated On: Jun 23, 2026
- Negative predictive value
- Positive predictive value
- Sensitivity
- Specificity
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The Correct Option is B
Solution and Explanation
Step 1: Positive predictive value (PPV) is the proportion of persons with a positive screening test result who actually have the disease in question. It reflects the diagnostic power of a positive test to correctly identify true disease.
Step 2: Contrast this with negative predictive value (NPV), which is the proportion of persons with a negative test result who truly do not have the disease.
Step 3: Sensitivity is the ability of the test to correctly identify all those who have the disease (true positive rate), and specificity is the ability to correctly identify those without the disease (true negative rate). Since the stem asks about the power of a positive result to confirm disease, the answer is (b) Positive predictive value.
Step 2: Contrast this with negative predictive value (NPV), which is the proportion of persons with a negative test result who truly do not have the disease.
Step 3: Sensitivity is the ability of the test to correctly identify all those who have the disease (true positive rate), and specificity is the ability to correctly identify those without the disease (true negative rate). Since the stem asks about the power of a positive result to confirm disease, the answer is (b) Positive predictive value.
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