What term represents the probability that the test will accurately detect those patients without the disease?

What term represents the probability that the test will accurately detect those patients without the disease?

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

Answer: (B)

The correct term that represents the probability that the test will accurately detect those patients without the disease is specificity. Specificity measures the proportion of true negatives that are correctly identified by the test, which indicates how well the test can identify individuals who do not have the disease. A high specificity means that the test is effective at ruling out those without the condition. In contrast, sensitivity refers to the test's ability to correctly identify those with the disease. Positive predictive value relates to the proportion of positive results that are true positives, while negative predictive value measures the proportion of negative results that are true negatives. Understanding these terms is crucial for evaluating the effectiveness of medical tests in diagnosing diseases.

The correct term that represents the probability that the test will accurately detect those patients without the disease is specificity. Specificity measures the proportion of true negatives that are correctly identified by the test, which indicates how well the test can identify individuals who do not have the disease. A high specificity means that the test is effective at ruling out those without the condition.

In contrast, sensitivity refers to the test's ability to correctly identify those with the disease. Positive predictive value relates to the proportion of positive results that are true positives, while negative predictive value measures the proportion of negative results that are true negatives. Understanding these terms is crucial for evaluating the effectiveness of medical tests in diagnosing diseases.