There is a lot of terminology to become familiar with regarding diagnostic studies, in this section we run through them and into the world of sensitivity and specificity!
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Once you’ve listened help consolidate the topics covered with the questions below.
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A case positive person is one who tests positive for the disease?
A case negative person is one without the disease of interest?
Test positive is defined as an individual who has the disease and tests positive for it?
A test negative individual is anyone who has a negative test result?
A true positive is a person who has disease and who tests positive for the disease also?
A false positive is a person that does not have the disease that tests positive?
A false negative is a person who has the disease that has a negative test result?
Sensitivity is defined as true positives/(true positives + false negatives)?
Specificity is defined as true negatives/(true negatives + false positives)?
You should only accept a test that is 100% sensitive if you are looking to rule out the disease?
Disease positive | Disease negative | |
Test positive | 20 | 6 |
Test negative | 4 | 70 |
From the table shown, the sensitivity of the test is 76.9%?
Disease positive | Disease negative | |
Test positive | 20 | 6 |
Test negative | 4 | 70 |
In the table able specificity is 92.1%?
A high positive predictive value means that’s those patients with the disease are likely to test positive?
The higher the negative predictive value the more likely it is that’s the person with the negative test results does not have the disease.
Disease positive | Disease negative | |
Test positive | 20 | 6 |
Test negative | 4 | 70 |
In the above table the positive predictive value is 76.9%?
Disease positive | Disease negative | |
Test positive | 20 | 6 |
Test negative | 4 | 70 |
In the table above the negative predictive value is 94.6%?