Advanced Epidemiologic Methods
EPI 207
Subject & Catalog Number
Course Information
Description
Provides an in-depth investigation of statistical methods for drawing causal inferences from observational studies. Informal epidemiologic concepts such as confounding, selection bias, overall effects, direct effects, and intermediate variables will be formally defined within the context of a counterfactual causal model and with the help of causal diagrams. Methods for the analysis of the causal effects of time-varying exposures in the presence of time dependent covariates that are simultaneously confounders and intermediate variables will be emphasized. These methods include g-computation algorithm estimators, inverse probability weighted estimators of marginal structural models, g-estimation of structural nested models. As a practicum, students will reanalyze data sets using the above methods.
Course Activities: Class discussion, homework, practicum and final examination.
Class Note: Students are required to enroll in both EPI 207 and EPI 207 LAB.
Class Notes
THIS CLASS HAS PRIORITY ENROLLMENT
Priority Wave Groups
Wave 1 | PHD PHS EPI
Wave 2 | Open Enrollment
Wave 3 | Open Enrollment
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Priority Wave Timing
Wave 1 | 8/13/2026 11:00 AM - 8/23/2026 11:59 PM
Wave 2 | 8/24/2026 12:00 AM - 8/26/2026 11:59 PM
Wave 3 | 8/27/2026 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
