Likelihood Ratio Formula for Diagnostic Tests

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Questions and Answers

What does a negative likelihood ratio (LR-) describe?

  • The likelihood that a patient without a disease tests positive (correct)
  • The likelihood that a patient with a disease tests positive
  • The likelihood that a patient without a disease tests negative
  • The likelihood that a patient with a disease tests negative

If the negative likelihood ratio (LR-) for a test is 0.2, what can be inferred?

  • The test moderately decreases the probability of disease when negative
  • The test is not useful for ruling out the disease when negative
  • The test is not useful for ruling in the disease when positive
  • The test significantly decreases the probability of disease when negative (correct)

What does a positive likelihood ratio (LR+) describe?

  • The likelihood that a patient with a disease tests positive (correct)
  • The likelihood that a patient without a disease tests positive
  • The likelihood that a patient without a disease tests negative
  • The likelihood that a patient with a disease tests negative

If the positive likelihood ratio (LR+) for a test is 10, what can be inferred?

<p>The test significantly increases the probability of disease when positive (B)</p> Signup and view all the answers

Which of the following statements about likelihood ratios is correct?

<p>A LR+ &gt; 1 and LR- &lt; 1 indicate a good diagnostic test (A)</p> Signup and view all the answers

If the negative likelihood ratio (LR-) for a test is 0.5, what is the interpretation?

<p>The test moderately decreases the probability of disease when negative (C)</p> Signup and view all the answers

If the positive likelihood ratio (LR+) for a test is 20, what is the interpretation?

<p>The test significantly increases the probability of disease when positive (A)</p> Signup and view all the answers

Which of the following statements about likelihood ratios is true?

<p>A LR+ &gt; 10 and LR- &lt; 0.1 indicate a highly accurate diagnostic test (B)</p> Signup and view all the answers

If the negative likelihood ratio (LR-) for a test is 0.8, what is the interpretation?

<p>The test does not change the probability of disease when negative (A)</p> Signup and view all the answers

Which of the following statements about likelihood ratios is false?

<p>A LR+ &lt; 1 indicates that a positive test decreases the probability of disease (A)</p> Signup and view all the answers

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