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PUBH 8035 Week 6 Quiz

1. Suppose that you are in charge of evaluating a newly developed screening test compared to a gold standard. You test 1,000 individuals. Of the 300 who test positive with the gold standard, 285 of them also test positive with the new screening test. Of the 700 who test negative with the gold standard, 7 of them test positive with the new screening test. What is the sensitivity of your new screening test?
2. Suppose that you are in charge of evaluating a newly developed screening test compared to a gold standard. You test 1,000 individuals. Of the 300 who test positive with the gold standard, 285 of them also test positive with the new screening test. Of the 700 who test negative with the gold standard, 7 of them test positive with the new screening test. What is the specificity of your new screening test?
3. Which of the following is an example of tertiary prevention?
4. A screening examination was performed on 250 persons for Factor X, which is found in disease Y. A definitive diagnosis for disease Y among the 250 persons had been obtained previously. The results are charted below:
5. The sensitivity of this test is expressed as:
6. A screening examination was performed on 250 persons for Factor X, which is found in disease Y. A definitive diagnosis for disease Y among the 250 persons had been obtained previously. The specificity of this test is:
7. A screening examination was performed on 250 persons for Factor X, which is found in disease Y. A definitive diagnosis for disease Y among the 250 persons had been obtained previously. The results are charted below:
8. A screening examination was performed on 250 persons for Factor X, which is found in disease Y. A definitive diagnosis for disease Y among the 250 persons had been obtained previously. The negative predictive value of this test is:
9. If the survival of cases detected through a screening program is longer simply because the disease was detected earlier in its natural history, bias would have occurred.
10. If the individuals who participate in a screening program have a different probability of disease from those who do not participate (for example, they may be healthier or sicker; older or younger; employed or not employed), bias would have occurred