Section outline

  • Lecture: Confounding and Interaction I: General Principles

    Definition and manifestations of confounding; use of counterfactual model to conceptualize origins of confounding; confounding vs confounders; use of directed acyclic graphs (DAGs) to demonstrate and identify confounding and other bias; nuisance causal pathways; importance of defining the research question and understanding the biological system to prevent confounding

    Faculty:  Jeffrey Martin

    Location:  Mission Hall 1400

    • Session Slides:

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

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    • Recommended Reading:

    •   S & N: Ch. 5

    • Jewell, NP. Causal inference and extraneous factors: confounding and interaction. In Statistics for Epidemiology. Chapman and Hall. p. 93-112, 2003. File
      Not available unless: Your ID number contains 02
    • Optional Reading:

    • Hernan M. Causal knowledge. AJE 156:176-184, 2002. File
      Not available unless: Your ID number contains 02
    • Cole S, Hernan M. Fallibility in estimating direct effects. IJE 31:163-165, 2002. File
      Not available unless: Your ID number contains 02
    • Greenland Pearl Robins. Causal diagrams for epidemiologic research. Epidemiology 10:37-48,1999. File
      Not available unless: Your ID number contains 02
    • Maldonado G and Greenland S. Estimating causal effects. Int J Epi 31:422-429, 2002. File
      Not available unless: Your ID number contains 02
    • Richiardi L et al. Mediation analysis in epidemiology IJE 42:1511-1519, 2013 File
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    • Assignment: Problem Set 9

    • Assignment Due Date:  November 14, 2017

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

    • Problem Set 9 Confounding and Interaction I 2017 Answer Key File