Define sensitivity.

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Multiple Choice

Define sensitivity.

Explanation:
Sensitivity is the test’s ability to correctly identify people who actually have the condition. It’s the true positive rate: among those whose disease status is confirmed by a gold standard, the fraction that the test marks as positive. For example, if 100 people truly have the disease and the test detects 90 of them, the sensitivity is 90%. A high sensitivity means few missed cases (fewer false negatives), which is especially important in screening. The option that describes this idea correctly focuses on identifying those with the problem; other choices point to specificity (identifying those without the disease), positive predictive value (the proportion of true positives among all positives), or the probability of disease given a positive result (post-test probability/PPV), which are different concepts.

Sensitivity is the test’s ability to correctly identify people who actually have the condition. It’s the true positive rate: among those whose disease status is confirmed by a gold standard, the fraction that the test marks as positive. For example, if 100 people truly have the disease and the test detects 90 of them, the sensitivity is 90%. A high sensitivity means few missed cases (fewer false negatives), which is especially important in screening. The option that describes this idea correctly focuses on identifying those with the problem; other choices point to specificity (identifying those without the disease), positive predictive value (the proportion of true positives among all positives), or the probability of disease given a positive result (post-test probability/PPV), which are different concepts.

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