Section outline

  • Lecture: Causal Inference (Pre-recorded; view on own)

    Historical perspectives on causal inference in science generally; different models/heuristics for causal inference in epidemiology specifically.

    Faculty:  June Chan

    • Session slides:

    • Causal Inference Part 1 Intro and Theories EPI207 FINAL File
    • Causal Inference Part 2 BHill EPI207 FINAL File
    • Causal Inference Part 3 Rothman EPI207 FINAL File
    • Causal Inference Part 4 Counterfactual EPI207 FINAL File
    • Extra_Positivity & Consistency Revisited_fr Small Group 2018 File

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

    • Required Reading:

      Ch. 2 Rothman/Greenland/Lash

    • Article to read for HW2 Jain et al JAMA 2015 File
      Not available unless: You belong to Registered Students Only

    • Optional Reading:

      Chapter 1, Hernán & Robins.

    • Fedak KM. Applying the Bradford Hill criteria in the 21st century: how data integration has changed causal inference in molecular epidemiology. Emerg Themes Epidemiol. 12:14:1-9, 2015 File
      Not available unless: Your ID number contains 02
    • VanderWeele TJ. Invited Commentary: The Continuing Need for Suggicient cause Model Today. AJE 185:11:1041-1043,2017 File
      Not available unless: Your ID number contains 02

    • Assignment:

    • HW 3 Causal Inf Ques to POST with Updated point allocation File

    • Assignment Due Date: January 31, 2019 at the beginning of Small Group Section

    • Week #3 Homework Submission Assignment

    • Assignment Answer Key (access restricted to registered students):