3 PART Q:

Suppose 100,000 women were screened for breast cancer via a mammography. Of these, 5000 women had a positive result on the mammogram screening test. Among those who tested positive, 1000 had a biopsy indicating a confirmed diagnosis of breast cancer. Among the remaining 95,000 women who screened negative, 100 had a biopsy-confirmed diagnosis of breast cancer. (Assume the remaining 94,900 women who screened negative on mammography and did not have a biopsy-confirmed diagnosis of breast cancer, truly did not have the disease.) Hint: Set up a 2X2 table to help answer this question.

What is the proportion of women with breast cancer (confirmed by biopsy) were correctly identified as "positive" by the mammography screening test? Report your answer as a percent rounded to the 10^th decimal place.

What is the proportion of women who do not have breast cancer and were correctly identified as "negative" by the mammography screening test? Report your answer as a percent rounded to the 10^th decimal place.

If this mammography screening test was used in a different population with a higher prevalence of breast cancer which of the following measures would be impacted? (choose the one most appropriate answer)

Validity of the screening test

Positive predictive value

Sensitivity

Specificity

None of the above