Can you explain the concept of sensitivity and specificity in diagnostic likelihood ratios?

Sample interview questions: Can you explain the concept of sensitivity and specificity in diagnostic likelihood ratios?

Sample answer:

  • Sensitivity:
  • Sensitivity is the probability of a diagnostic test being positive when an individual has the disease.
  • It measures the test’s ability to correctly identify individuals with the disease.
  • A highly sensitive test will have a low false-negative rate, meaning it is less likely to miss cases of the disease.

  • Specificity:

  • Specificity is the probability of a diagnostic test being negative when an individual does not have the disease.
  • It measures the test’s ability to correctly identify individuals without the disease.
  • A highly specific test will have a low false-positive rate, meaning it is less likely to identify individuals as having the disease when they do not.

  • Diagnostic Likelihood Ratios (DLRs):

  • A diagnostic likelihood ratio (DLR) is a statistical measure that compares the likelihood of a test result in individuals with a disease to the likelihood of the same result in individuals without the disease.
  • It is calculated by dividing the sensitivity of the test by its specificity.

  • Interpretation of DLRs:

  • A DLR greater than 1 indicates that a positive test result is more likely to occur in individuals with the disease than in individuals witho… Read full answer

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