Predictive Value

Question 1

Positive predictive value

Answer 1

Among positive tests, the proportion of true disease positives are identified

Question 2

High prevalence = _____ confidence

Answer 2

High

Question 3

Negative predictive value

Answer 3

Among negative tests, the proportion of true disease negatives are identified

Question 4

What influences interpretation of tests?

Answer 4

Prevalence!

Question 5

A higher sensitivity improves ______

Answer 5

Negative predictive value

- helps identify disease negatives and rules out disease!

Question 6

A lower specificity will ____

Answer 6

Decrease positive predictive value

• lower specificity = more false positives
• specificity affects PPV

Question 7

A more sensitive test reduces _____ and increases ______

Answer 7

False negatives; negative predictive value

- SNout: helps to rule out disease (identify the D-)

Question 8

A more specific test reduces _____ and improves ______

Answer 8

False positives; positive predictive value

- SPin: rules disease in, identify D+

Question 9

T/F: sensitivity and specificity are properties of the test

Answer 9

True

- similar if applied to similar populations

Question 10

_____ are what a clinician sees and must deal with

Answer 10

Predictive values