The proportion of persons with positive test results who actually have a disease,interpreted as the probability that an individual with a positive test result has the disease,is the:
A) sensitivity.
B) specificity.
C) positive predictive value.
D) negative predictive value.

Question

Quizplus · Accepted Answer

Positive predictive value refers to the proportion of persons with positive test results who actually have the disease,interpreted as the probability that an individual with a positive test result has the disease.Sensitivity quantifies how accurately the test identifies those with the condition or trait.Specificity indicates how accurately the test identifies those without the condition or trait.Negative predictive value is the proportion of persons with a negative test who are actually disease free.

The Proportion of Persons with Positive Test Results Who Actually