Spring Course: Analyzing Epidemiologic Data: Basic Methods

EPI 330 – Analyzing Epidemiologic Data: Basic Methods

How do epidemiologists get from hypothesis → data → results? What basic epidemiologic software tools are available? How do results → recommendations for action?

-Increase your awareness of commonly used data sources for epidemiologic analysis and surveillance.

-Gain hands-on experience with key data management strategies and epidemiologic software to conduct basic analyses to answer research questions.

-Expand study design topics introduced in Introduction to Epidemiology (EPI 320) to concepts such as confounding, effect modification, and adjustment.

EPI 330 is a great addition to public health and pre-med coursework. Prerequisites include: EPI 320, and any Introductory Biostatistics/Statistics class or AP Statistics with a grade of 3 or above.

This course follows up on concepts introduced in “Introduction to Epidemiology” (EPI 320), by providing students with hands-on experience using epidemiologic software to conduct basic analyses of existing epidemiologic data files. It includes further discussion of data sources, study designs and concepts such as confounding, effect modification, and adjustment. The class focuses on providing information about the steps used in developing a hypothesis through presentation of results, and experience using basic data management strategies and analytic tools. Areas of Knowledge: I&S & QSR. A course flyer is attached.

SLN: 14152; 4 credits; Meets M 1:30-3:20 p.m. in HSB D-209; W 1:30-3:20 p.m. in HSL Computer Classrooms A,B, & C; Instructor: Beth Mueller

Questions: epcourse

EPI330_V5.pdf

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