Tuesday, November 8, 2016; 8:45 AM - 10:15 AM
Section outline
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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-
Jewell, NP. Causal inference and extraneous factors: confounding and interaction. In Statistics for Epidemiology. Chapman and Hall. p. 93-112, 2003. File
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Hernan M. Causal knowledge. AJE 156:176-184, 2002. File
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Cole S, Hernan M. Fallibility in estimating direct effects. IJE 31:163-165, 2002. File
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Greenland Pearl Robins. Causal diagrams for epidemiologic research. Epidemiology 10:37-48,1999. File
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Maldonado G and Greenland S. Estimating causal effects. Int J Epi 31:422-429, 2002. File
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Richiardi L et al. Mediation analysis in epidemiology IJE 42:1511-1519, 2013 File