t te the name fo The table below shows what is likely to happen if all roughly 30000 infection or certain cancers, there is controversy about the benefits of w everyone for the disease. In this problem, you will see why this is the c 4 When the prevalence of a disease in the population is very low, such aw Americans each were given an inexpensive enzyme immunoassa test for HIV infection. Test Positive Test Negative Total 4,030 294,176,751 294,180,781 Have HIV 1,339,370 1343 4 298 556 50 Do Not Have HIV 4,479,849 Total 5,819,219 300,00000 Sources: www.cdc.gov, R. Chou et al. (July 2005). "Screening for HIV: A Review of the Evidence the U.S. Preventive Services Task Force," Annals of Internal Medicine, Vol. 143, July 2005, pp. 55- www.annals.org/content/143/1/55.full px FN. a. How many false positives were there? Explain the consequence of a positive for the person tested. consequence of afi false negatives were there? Explain the b. How many negative for the person tested. c. What is the sensitivity of this test? Explain the meaning of this staisi, the context of this test. d. What is the specificity of this test? Explain the meaning of this taisu the context of this test. e. What is the positive predictive value (PPV)? Use this value in a sente explaining to a person what his or her positive test might indicate f. What is the negative predictive value (NPV)? Use this value in a se explaining to a person what his or her negative test might indicale g. Based on your results, explain why people are reluctant to recom universal screening for HIV.
t te the name fo The table below shows what is likely to happen if all roughly 30000 infection or certain cancers, there is controversy about the benefits of w everyone for the disease. In this problem, you will see why this is the c 4 When the prevalence of a disease in the population is very low, such aw Americans each were given an inexpensive enzyme immunoassa test for HIV infection. Test Positive Test Negative Total 4,030 294,176,751 294,180,781 Have HIV 1,339,370 1343 4 298 556 50 Do Not Have HIV 4,479,849 Total 5,819,219 300,00000 Sources: www.cdc.gov, R. Chou et al. (July 2005). "Screening for HIV: A Review of the Evidence the U.S. Preventive Services Task Force," Annals of Internal Medicine, Vol. 143, July 2005, pp. 55- www.annals.org/content/143/1/55.full px FN. a. How many false positives were there? Explain the consequence of a positive for the person tested. consequence of afi false negatives were there? Explain the b. How many negative for the person tested. c. What is the sensitivity of this test? Explain the meaning of this staisi, the context of this test. d. What is the specificity of this test? Explain the meaning of this taisu the context of this test. e. What is the positive predictive value (PPV)? Use this value in a sente explaining to a person what his or her positive test might indicate f. What is the negative predictive value (NPV)? Use this value in a se explaining to a person what his or her negative test might indicale g. Based on your results, explain why people are reluctant to recom universal screening for HIV.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Answer question four only
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ose a student fails the test. What is the probability that he
b. Write the
actually needs to take remedial mathematics? What is the name for
tence that en
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Americans each were given an inexpensive enzyme immunoassay
side
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Test Positive
Test Negative
Total
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High intr
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Total
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Sources: www.cdc.gov, R. Chou et al. (July 2005). "Screening for HIV: A Review of the Evidence
the U.S. Preventive Services Task Force," Annals of Internal Medicine, Vol. 143, July 2005, pp. 55-
www.annals.org/content/143/1/55.full
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