Directed Acyclic Graphs for Causal Inference

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Date/Time
Date(s) - 10/18/2019 - 10/19/2019
All Day

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This course is taught in Philadelphia, Pennsylvania by Dr. Felix Elwert, the Vilas Associate Professor of Sociology at the University of Wisconsin–Madison.

Directed acyclic graphs (DAGs) are a powerful new tool for understanding and resolving causal problems in empirical research. Two primary uses of DAGs are (1) determining the identifiability of causal effects from observed data, and (2) deriving the testable implications of a causal model. Seminar topics include: conditions for the identification of causal effects; d-separation; the difference between confounding, over-control, and selection bias; identification by adjustment; backdoor identification; what variables to control for; what variables not to control for; structural assumptions in regression and instrumental variables analysis; and recent work on causal mediation analysis.

To register, or for more information on the course, click here.

The course fee is $995.

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