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What does a negative likelihood ratio (LR-) describe?
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?
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?
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?
If the positive likelihood ratio (LR+) for a test is 10, what can be inferred?
Which of the following statements about likelihood ratios is correct?
Which of the following statements about likelihood ratios is correct?
If the negative likelihood ratio (LR-) for a test is 0.5, what is the interpretation?
If the negative likelihood ratio (LR-) for a test is 0.5, what is the interpretation?
If the positive likelihood ratio (LR+) for a test is 20, what is the interpretation?
If the positive likelihood ratio (LR+) for a test is 20, what is the interpretation?
Which of the following statements about likelihood ratios is true?
Which of the following statements about likelihood ratios is true?
If the negative likelihood ratio (LR-) for a test is 0.8, what is the interpretation?
If the negative likelihood ratio (LR-) for a test is 0.8, what is the interpretation?
Which of the following statements about likelihood ratios is false?
Which of the following statements about likelihood ratios is false?
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