Question:

Diagnostic power of a test to correctly diagnose a disease is ?

Updated On: Jul 14, 2025
  • Negative predictive value
  • Positive predictive value
  • Sensitivity
  • Specificity
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The Correct Option is B

Solution and Explanation

In the medical field, the diagnostic power of a test refers to its ability to correctly identify the presence or absence of a disease. Several metrics are used to evaluate this, including:
  • Positive Predictive Value (PPV): This is the probability that subjects with a positive screening test truly have the disease. It measures the power of a test to correctly diagnose the disease when the test result is positive.
  • Negative Predictive Value (NPV): This is the probability that subjects with a negative screening test are truly free of the disease.
  • Sensitivity: This is the ability of a test to correctly identify patients with a disease (true positive rate).
  • Specificity: This is the ability of a test to correctly identify patients without the disease (true negative rate).
The correct measure of a test's power to diagnose a disease accurately when the test result is positive is the Positive Predictive Value (PPV).
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