The false negative rate is calculated as 1 minus which value?

The false negative rate is calculated as 1 minus which value?

• A. Specificity
• B. Sensitivity
• C. Positive predictive value
• D. Negative predictive value

Answer: (B)

The false negative rate is indeed calculated as 1 minus sensitivity. Sensitivity, also known as the true positive rate, is the proportion of actual positive cases that are correctly identified by a test. When you subtract sensitivity from 1, you obtain the false negative rate, which indicates the proportion of actual positive cases that are incorrectly classified as negative. This relationship is crucial in understanding the effectiveness of a diagnostic test. A high sensitivity value corresponds to a low false negative rate, meaning the test is reliable in identifying most positive cases. In contrast, a low sensitivity value leads to a higher false negative rate, suggesting that the test misses many true positives, which can be particularly critical in clinical settings where early detection is vital.

The false negative rate is indeed calculated as 1 minus sensitivity. Sensitivity, also known as the true positive rate, is the proportion of actual positive cases that are correctly identified by a test. When you subtract sensitivity from 1, you obtain the false negative rate, which indicates the proportion of actual positive cases that are incorrectly classified as negative.

This relationship is crucial in understanding the effectiveness of a diagnostic test. A high sensitivity value corresponds to a low false negative rate, meaning the test is reliable in identifying most positive cases. In contrast, a low sensitivity value leads to a higher false negative rate, suggesting that the test misses many true positives, which can be particularly critical in clinical settings where early detection is vital.