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Positive and negative likelihood ratios will vary dependant upon the prevalence of the disease in question?
Likelihood ratios can be used to calculate post test probabilities?
The magnitude of a likelihood ratio can be used to determine its significance?
When looking to develop a diagnostic test, the area under the curve can be used to help evaluate the utility of a test. An area under the curve of 1 means that the test will be no more useful than relying on chance.
If a patient has a pretest likelihood of disease of 10%, you apply a test gaining a positive result and you know the test to have a positive likelihood ratio of 5, the post test probability will be 50%?
A positive likelihood ratio is calculated by sensitivity/(1-specificity)?