Skip to main page content
Ideas
  1. Course Search
  2. EPI 202 2

Epidemiologic Methods 2: Elements of Epidemiologic Research
EPI 202 2

Course Information

Description

EPI202 is a seamless continuation of EPI201. This course builds on the material from EPI201 and extends to concepts of statistical inference, data analysis methods and causal inference in epidemiologic research. Principles and methods are illustrated with examples, and reviewed through homework and in-class exercises. This course is designed primarily for doctoral students majoring in Epidemiology and related fields, and those interested in a research career requiring a rigorous foundation in the design, conduct and analysis of epidemiologic studies.
Class Note: A Thursday or Friday lab is required to complete this enrollment

Class Notes

THIS CLASS HAS PRIORITY ENROLLMENT
 
Priority Wave Groups 
Wave 1 | PHD PHS, GHP SM2, SM1 EPI, SM2 EPI
Wave 2 | Open Enrollment
Wave 3 | Open Enrollment
 
-------------------------------------------------------------
Priority Wave Timing
Wave 1 | 8/14/2025 11:00 AM - 8/24/2025 11:59 PM
Wave 2 | 8/25/2025 12:00 AM - 8/27/2025 11:59 PM
Wave 3 | 8/28/2025 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

School Harvard Chan School
Credits 2.5
Cross Reg

Available for Harvard Cross Registration

Department Epidemiology
Course Component Lecture
Instruction Mode In Person
Grading Basis HSPH Ordinal
Course Requirements EPI201 AND (BST201 or BST202&203 or BST206&207/8 or ID207 or PHS2000) (all courses may be taken concurrently)