Which of the following statement about positive predictive value is the most accurate?
A) Positive predictive value is a fixed characteristic of the test. It will not change over the person, place, and time.
B) Positive predictive value is affected by the sensitivity of the test only.
C) Specificity will not affect the positive predictive value.
D) Positive predictive value is the probability that a diseased person (case) in the population tested will be identified as diseased by the test.
E) None of above.

Question

Quizplus · Accepted Answer

Positive predictive value is the proportion of those who test positive who do have the disease or the probability that a person identified as diseased by the test will be a diseased person (case) in the population."Positive predictive value is a fixed characteristic of the test.It will not change over the person,place,and time" is not correct,because positive predictive value is influenced by the prevalence of the disease.It is not a fixed characteristic of the test.It will change over the person,place,and time."Positive predictive value is affected by the sensitivity of the test only" and "Specificity will not affect the positive predictive value" are not correct.Positive predictive value is affected by sensitivity,specificity,and prevalence."Positive predictive value is the probability that a diseased person (case) in the population tested will be identified as diseased by the test" is not correct as this is a definition of sensitivity.

Which of the Following Statement About Positive Predictive Value Is