Assertion: sensitivity's value | /r/HasProperty | the probability
Facets:
value: similarly
type: DEGREE
Source sentences:
text: The positive predictive value (PPV) is the probability that a subject/sample that returns a positive result really is positive and the negative predictive value (NPV) is the probability that a subject/sample that returns a negative result really is negative
text: The positive predictive value (PPV) is the probability that a subject/sample that returns a positive result really is positive and the negative predictive value (NPV) is the probability that a subject/sample that returns a negative result really is negative
text: Positive predictive value is the probability that a person in your population with a positive test has the disease.
text: Similarly, negative predictive value is the probability that a negative test result in your population means the patient does not have disease.
text: The predictive values of diagnostic tests are defined as "in screening and diagnostic tests, the probability that a person with a positive test is a true positive (i.e., has the disease), is referred to as the predictive value of a positive test; whereas, the predictive value of a negative test is the probability that the person with a negative test does not have the disease.