Question

1. Twenty -four percent of those with diagnosed diabetes tested negative on a screening test for the disease. This type of screening measure is known as:

a. False negative rate

b. True positive rate

c. False positive rate

d. Negative predictive value

Answer 1

Twenty four percent of those with diagnosed diabetes, tested negative on a screening test for the disease.

The negative predictive value is defined as the number of true negatives (people who test negative who are not infected) divided by the total number of people who test negative.

A false negative is a test result that indicates a person does not have a disease or condition when the person actually does have it.

A true positive test is a result that indicates the rate of actual positives, out of those tested positive.

But, in this problem, the screening test finds the percentage of people who tested positive even though they are actually negative.

So, this type of screening measure is an example of option (c) False positive rate.