Analysis of Case-Control, Cohort and Other Epidemiologic Data
EPI 204LAB 1
Subject & Catalog Number
Course Information
Description
Course Description
This course will examine, through practical examples, the use of regression methods for analyses of epidemiologic data, primarily case-control and cohort studies. Methods used will include linear, logistic, Poisson, conditional logistic, and Cox regression models. Matched analysis for case-control and cohort studies will also be covered. The lectures will focus on the principle ideas and issues underlying the regression analyses, and the computer labs will provide practical experience applying those methods, using R software (two identical sessions for each). Issues to be dealt with include dose-response, confounding, violation of standard assumptions, and interaction. It will emphasize analysis and interpretation of results in the context of the study design. Familiarity with basic R is required.
Course Activities: Written group projects, class discussion, quizzes, homework.
Course Note: Computer lab is required, please sign up for one lab session when registering.
Course Pre-requisites: (BST210 (concurrent enrollment allowed) or BST213 or PHS2000A/B) and (EPI200 or EPI201 or EPI208 or EPI505) and EPI202
Class Notes
THIS CLASS HAS PRIORITY ENROLLMENT
Priority Wave Groups
Wave 1 | EPI (1st year students); SM1, SM2,
Wave 2 | EPI (2nd year students and beyond); SM1, SM2, NUT PHS
Wave 3 | Open Enrollment
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Priority Wave Timing
Wave 1 | 1/7/2027 11:00 AM - 1/17/2027 11:59 PM
Wave 2 | 1/18/2027 12:00 AM - 1/20/2027 11:59 PM
Wave 3 | 1/21/2027 12:00 AM Enrollment Deadline (varies by session)
Any student who does not meet the Wave 1 or Wave 2 criteria can add themselves to the waitlist (if enrollment requirements are met) at any time during the enrollment period. At the beginning of each priority wave, students on the waitlist who meet the Wave’s criteria will be automatically enrolled into any remaining seats in the course (pending no time conflicts)
**Cross-Registrants and Non-Degree Students will be enrolled on a space available basis after the enrollment deadline for the course
Available for Harvard Cross Registration