Final Fall 2017.docx - Name FINAL EXAM PUBH 305 – Introduction to Epidemiology Fall 2017 Instructor Han Kim For each problem make sure you show ALL

Final Fall 2017.docx - Name FINAL EXAM PUBH 305 –...

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Name: _________________________ FINAL EXAM PUBH 305 – Introduction to Epidemiology Fall 2017 Instructor: Han Kim For each problem, make sure you show ALL your work and calculations. I do give partial credit, but only if there is work that I can evaluate. Also, if you do not interpret your results (meaning it can be understood by the general public), you will not get full credit. You can submit a handwritten copy of the exam if you feel that works better for you. However, if you do, make sure it is neat and organized. If I can’t read it or follow your logic, I can’t grade it. Calculators are allowed, as well as any online tools you may find. It is open book/open note, so feel free to use any resource that you have available. This is a take-home exam; you may take as much time on it as you feel is needed. You may also consult with other students in the class. In fact, I encourage it. However, you may NOT consult with former epi students, graduate students, tutors, other epidemiologists, or any other human resource other than your classmates. If you have any questions, please contact me via email at [email protected] or cell phone at (801) 403-5534. I do take text messages on my cell phone as well as Facebook chat (if I’m online) as well. The exam is due Friday, December 15, by noon. You will need to turn in one copy per person, either as a hard copy or as an online submission. I WILL NOT ACCEPT LATE SUBMISSIONS! 1.
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Name:__________________________________________________________________ 1. This is a hypothetical case-control study on the role of male gender as a risk factor for malaria infection. The crude data is as follows: Case Control Total Males 88 68 156 Females 62 82 144 Total 150 150 300 a. Are males at increased risk for malaria infection? If so, how much more are they at risk? b. How much malaria infection among males is due to being male? Use the crude data to calculate this (if possible).
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Name:__________________________________________________________________ Among several potential confounding factors, occupation may be one of the more significant ones. Outdoor occupation is a significant risk factor for malaria, given the increased exposure to Anopheles mosquitos, the vector for the malaria parasite. c. Diagram how occupation could be a confounder for the gender – malaria association. After stratifying the data for occupation, you obtain the following results Outdoor Occupation Case Control Total Males 53 15 68 Females 10 3 13 Total 63 18 81 Indoor Occupation Case Control Total Males 35 53 88 Females 52 79 131 Total 87 132 219 d. What is the risk for malaria infection among men in outdoor occupations? In indoor occupations?
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Name:__________________________________________________________________ e. According to the data, is occupation confounding the relationship between male gender and malaria infection? How do you know? f. What is the risk of malaria infection due to male gender without the confounding effect of occupation? g. Reconcile briefly the difference between the crude risk estimate and the adjusted risk estimate. What do the numbers say about the nature of male gender and the risk of malaria infection?
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  • Fall '17
  • LAURA BELGIQUE
  • Type I and type II errors, Cohort study, Case-control study, Study design

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