Question

Which of the following statements are false. More that one answer possible.

Group of answer choices

sensitivity is the probability of a positive test given that a condition is present

specificity is the probability of a negative test given a condition is absent

Positive Predictive Value is the probability of the condition being present given a positive test

Negative Predictive Value is the probability of a condition being absent given a negative test

Good sensitivity is more important that good specificity

Having good Positive Predictive Value is really all that matters

Answer 1

The following statement are False:

Good sensitivity is more important that good specificity

Having good Positive Predictive Value is really all that matters

Whether sensitivity or specificity s more important depends on the prevalence of the disease and the use of the test. Having a good positive predictive value does not mean that the test is accurate because, even if all the people who tested positive will have the disease, many people who have the disease can have negative test result and their disease may go unidentified.