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Apr 11, 2016 by George Gray (gmgray)
Jul 3, 2017 by Eden Slone (edencslone)
PUBH 6131 : Applied Data Analysis in Environmental and Occupational Health
Mon, 03 Jul 2017 08:02:53 GMT
Thu, 29 Jun 2017 18:00:30 GMT
Catalog Pages referencing this course
Environmental and Occupational Health
Prevention and Community Health
Public Health (PUBH)
Programs referencing this course
EHSP-MPH: Environmental Health Science and Policy
EHSP-PAMPH: Physician Assistant and Environmental Health Science and Policy
GEH-MPH: Global Environmental Health
PA-EHSP: Physician Assistant and Environmental Health Science and Policy
PA-GEH: MSHS in the Field of Physician Assistant and MPH in Global Environmental Health
Milken Institute School of Public Health
Public Health (PUBH)
Long Course Title
Applied Data Analysis in Environmental and Occupational Health
Short Course Title
Applied Data Analysis in EOH
Number of Credits
Default Grading Method
Repeatable for Credit?
PUBH 6002, PUBH 6003 and PUBH 6004
Kate Applebaum, ScD
Frequency of Offering
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Are Fees Applicable?
Explanation and Description of Fees
Are Additional Resources Required?
Explanation of Additional Resources
Justification for Additional Resources
Describe any Sources of Additional Funding
Application of biostatistical and epidemiologic concepts and methods to analysis of environmental and occupational health (EOH) data. Students manage datasets, conduct data analyses, present data graphically, and interpret data for relevance to EOH research, policy, and practice. Development and practice of skills needed for analyzing complex exposures and communicating environmental and occupational research findings.
At the end of the course students will be able to: • Apply SAS software in examination of environmental and occupational epidemiologic data • Generate descriptive statistics and present clearly in tables and plots #1, 2 • Clean raw data and create variables for analysis #1, 2 • Analyze and interpret epidemiologic data using crude and adjusted data methods including pooling methods and linear and logistic regression • Explain different exposure metrics used in analyses and their advantages and disadvantages • Build epidemiologic models that consider effect measure modification
Uploaded a Course Syllabus
EOH PubH 6131 Appl Data Analysis in EOH.pdf
Explanation of how the course differs from similar GW courses
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