10 Questions
What does a negative likelihood ratio (LR-) describe?
The likelihood that a patient without a disease tests positive
If the negative likelihood ratio (LR-) for a test is 0.2, what can be inferred?
The test significantly decreases the probability of disease when negative
What does a positive likelihood ratio (LR+) describe?
The likelihood that a patient with a disease tests positive
If the positive likelihood ratio (LR+) for a test is 10, what can be inferred?
The test significantly increases the probability of disease when positive
Which of the following statements about likelihood ratios is correct?
A LR+ > 1 and LR- < 1 indicate a good diagnostic test
If the negative likelihood ratio (LR-) for a test is 0.5, what is the interpretation?
The test moderately decreases the probability of disease when negative
If the positive likelihood ratio (LR+) for a test is 20, what is the interpretation?
The test significantly increases the probability of disease when positive
Which of the following statements about likelihood ratios is true?
A LR+ > 10 and LR- < 0.1 indicate a highly accurate diagnostic test
If the negative likelihood ratio (LR-) for a test is 0.8, what is the interpretation?
The test does not change the probability of disease when negative
Which of the following statements about likelihood ratios is false?
A LR+ < 1 indicates that a positive test decreases the probability of disease
Learn about the formula for the likelihood ratio (LR) in diagnostic tests, which includes the positive LR and negative LR and how they affect the probability of having a disease given a positive or negative test result.
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