Epidemiologic Methods III: Models for Causal Inference
EPI 289LAB 2
Subject & Catalog Number
Course Information
Description
Course Description
Causal Inference is a fundamental component of epidemiologic research. EPI289 describes models for causal inference, their application to epidemiologic data, and the assumptions required to endow the parameter estimates with a causal interpretation. The course introduces outcome regression, propensity score methods, the parametric g-formula, inverse probability weighting of marginal structural models, g-estimation of nested structural models, and instrumental variable methods. Each week students are asked to analyze the same data using a different method.
EPI289 is designed to be taken after EPI201/EPI202 and before EPI204 and EPI207. Epidemiologic concepts and methods studied in EPI201/202 will be reformulated within a modeling framework in EPI289. This is the first course in the sequence of EPI core courses on modeling (EPI289, EPI204, EPI207).
EPI289 focuses on time-fixed dichotomous treatments and time-fixed dichotomous and continuous outcomes. The course introduces failure time outcomes (survival analysis), which are extensively covered in EPI204, and time-varying treatments, which are extensively covered in EPI207. Familiarity with R is required.
Course Prerequisite(s): [(EPI 201 or EPI 208 or EPI 500) and (EPI 202 or EPI 202s)]
Class Notes
THIS CLASS HAS PRIORITY ENROLLMENT
Priority Wave Groups
Wave 1 | EPI SM1, SM2, PHD PHS, EPI MWY
Wave 2 | EPI SM1, SM2, PHD PHS, EPI MWY, MPH QM
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
