Sensitivity - The proportion of people with disease who have a positive test.
Specificity - The proportion of people free of a disease who have a negative test.
Sensitivity reflects how good the test is at picking up people with disease, while the specificity reflects how good the test is at identifying people without the disease.
Sensitivity and specificity are calculated vertically in a 2 X 2 table.
These measures are combined into an overall measure of the efficacy of a diagnostic test called the likelihood ratio: the likelihood that a given test result would be expected in a patient with the target disorder compared to the likelihood that the same results would be expected in a patient without the disorder.
Is the study valid?
What were the results? What are the likelihood ratio(s)?
Are the results important?
What is meant by test accuracy?
a. The test can correctly detect a disease that is present (a true positive result).
b. The test can detect disease when it is really absent (a false positive result).
c. The test can incorrectly identify someone as being free of a disease when it is present (a false negative result).
d. The test can correctly identify that someone does not have a disease (a true negative result).