Statistics

Question 0

Specificity (Sp) =

Answer 0

(True Negative Tests) / (True Negative Tests) + (False Positive Tests)

Question 1

Sensitivity (Sn) =

Answer 1

(True Positive Tests) / (True Positive Tests) + (False Negative Tests)

Question 2

Positive Predictive Value (PPV) =

Answer 2

(True Positive Tests) / (True Positive Tests) + (False Positive Tests)

Question 3

Negative Predictive Value (NPV) =

Answer 3

(True Negative Tests) / (True Negative Tests) + (False Negative Tests)

Question 4

Prevalence (Pr) =

Answer 4

(Total D+ in Population) / (Total D+ in Population) + (Total D- in Population)

Question 5

Positive Likelihood Ratio (Positive LR) =

Answer 5

(Sensitivity) / (1 - Specificity)

Question 6

Negative Likelihood Ratio (Negative LR) =

Answer 6

(1 - Sensitivity) / (Specificity)

Question 7

In general, when diagnostic sensitivity is relatively low, a diagnostic test is more useful when

A. The test is positive
B. The test is negative

Answer 7

A. The test is positive

Question 8

In general, when diagnostic specificity is relatively low, a diagnostic test is more useful when

A. The test is positive
B. The test is negative

Answer 8

B. The test is negative