Section outline

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    Course Introduction & Conceptual Frameworks for Causal Inference (Parts I & II)

    Introduction to the course; models/heuristics for causal inference in epidemiology; discussion of counterfactuals and identifiability criteria; ideal randomized experiments

    Faculty: June Chan, Rebecca Graff

    Location: ONLINE--Zoom link below

    • Required Reading:

      Chapter 1 and Chapter 2.1, Hernán & Robins, Causal Inference Book, online

    • Optional Reading:

      Chapter 2, Rothman, Greenland, & Lash, 2008

    • Recorded Lectures (please watch PRIOR to class):

      Access restricted to registered students

    • Welcome and Overview to EPI 207 2022 Media Resource
    • Conceptual Frameworks for Causal Inference - Part 1 Media Resource

      Updated 12/28/21 with additional clarifications

    • Bradford Hill (Optional) Media Resource
    • Sufficient & Component Cause (Optional) Media Resource
    • Session Slides:

    • Updated 12/28/21 with additional clarifications

    • Session Audio/Video Recording (access restricted to registered students):

    • Class Recording - Week 1 Media Resource
      Not available unless: You belong to a group in Registered Students Only
    • Assignment:

      Due Thursday, January 20, 2022 at the beginning of lecture

    • Article to Read for HW - Karasek, et al. Lancet Reg Health Am 2021 File
      Not available unless: You belong to Registered Students Only
    • Assignment Answer Key (access restricted to registered students):