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BE.102 Macroepidemiology, Spring 2005

Author(s)
Thilly, William G.
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DownloadBE-102Spring-2005/OcwWeb/Biological-Engineering-Division/BE-102Spring-2005/CourseHome/index.htm (15.26Kb)
Alternative title
Macroepidemiology
Terms of use
Usage Restrictions: This site (c) Massachusetts Institute of Technology 2003. Content within individual courses is (c) by the individual authors unless otherwise noted. The Massachusetts Institute of Technology is providing this Work (as defined below) under the terms of this Creative Commons public license ("CCPL" or "license"). The Work is protected by copyright and/or other applicable law. Any use of the work other than as authorized under this license is prohibited. By exercising any of the rights to the Work provided here, You (as defined below) accept and agree to be bound by the terms of this license. The Licensor, the Massachusetts Institute of Technology, grants You the rights contained here in consideration of Your acceptance of such terms and conditions.
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Abstract
This course presents a unique and challenging perspective on the causes of human disease and mortality. The course focuses on analyses of major causes of mortality in the US since 1900: cancer cardiovascular and cerebrovascular diseases, diabetes, infectious diseases. Students create analytical models to derive estimates for historically variant population risk factors and physiological rate parameters, and conduct analyses of familial data to separately estimate inherited and environmental risks. The course evaluates the basic population genetics of dominant, recessive and non-deleterious inherited risk factors.
Date issued
2005-06
URI
http://hdl.handle.net/1721.1/36864
Department
Massachusetts Institute of Technology. Department of Biological Engineering
Other identifiers
BE.102-Spring2005
local: BE.102
local: IMSCP-MD5-ce6dbcb579c2b5bef09fa31f4b5fa0fa
Keywords
Disease, mortality, cancer, cerebrovascular disease, diabetes, infectious disease, risk, inherited risk, environmental risk, population genetics, mutation, public health, malignancy, statistics

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