Stats

Question 1

What is positive predictive value?

Answer 1

Probability of having the disease if testing positive

Positive predictive value is calculated as TP / (TP + FP), where TP is true positives and FP is false positives.

Question 2

What does negative predictive value measure?

Answer 2

Probability of being negative if test is negative

Negative predictive value is calculated as TN / (TN + FN), where TN is true negatives and FN is false negatives.

Question 3

Define sensitivity in the context of diagnostic testing.

Answer 3

Probability of a positive test if patient has disease

Sensitivity is calculated as TP / (TP + FN).

Question 4

What is specificity?

Answer 4

Probability of a negative test if patient is negative

Specificity is calculated as TN / (TN + FP).

Question 5

Fill in the blank: Positive predictive value is calculated as TP / _______.

Answer 5

(TP + FP)

Question 6

Fill in the blank: Negative predictive value is calculated as TN / _______.

Answer 6

(TN + FN)

Question 7

Fill in the blank: Sensitivity is calculated as TP / _______.

Answer 7

(TP + FN)

Question 8

Fill in the blank: Specificity is calculated as TN / _______.

Answer 8

(TN + FP)

Question 9

True or False: Positive predictive value indicates how likely a person is to have a disease after testing positive.

Answer 9

True

Question 10

True or False: Specificity measures the likelihood that a negative test result is accurate.

Answer 10

True