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Public Health: Epidemiology 2

PH 307 OL2 (CRN: 91862)

3 Credit Hours

About PH 307 OL2

Exposure to advanced epidemiological concepts, such as effect modifications and modeling using multiple variables, related to establishing causal relationships from observational data. Prerequisite: PH 302, PH 303.

Notes

Prereqs enforced by the system: PH 302 and PH 303; Open to Graduate-level Public Health students only until August 14, 2017; All other students require instructor permission; Must submit the request at http://go.uvm.edu/ph; Students will be notified if permission granted on August 14, 2017; Contact student Advisor, Vika Pleshakova at vpleshak@uvm.edu for any questions.

Section Description

DETAILED DESCRIPTION: This online course will be divided into modules typically one week long. Review of concepts introduced in PH302: Epidemiology 1, such as study design, bias, and confounding, will occur across modules. In addition, Epidemiology 2 introduces more advanced concepts such as survival analysis, effect modification, and interpreting outcomes from regression models with multiple variables. OBJECTIVES: The overall objective of this course is to teach the principals of causal inference. By the end of the course, students should be able to 1. Describe the differences between and advantages of various study designs 2. Evaluate the source, level, and result of bias and confounding in a given study 3. Critically appraise epidemiology literature 4. Interpret study results from SPSS statistical software and make statistical inferences 5. Interpret the influence of confounders 6. Interpret the influence of effect modifiers

Section Expectation

Each weekly module includes recorded lectures, reading a new full chapter from assigned textbook, engagement in online discussions about the reading, and spending additional time with practice questions at the end of the chapter.

Evaluation

The course evaluation is based on participation, homework, two quizzes, and a final exam. The exams are timed online.

Meetings

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Location

Online Course (View Campus Map)