Tuesday, November 10, 2015; 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 1999 File
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Maldonado G and Greenland S. Estimating Causal Effects. Int J Epi 2002 File