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Causal inference I In-Person / Online

Causal Inference - Session 1

Overview: This workshop will provide an introduction to the fundamentals of causal inference, and emphasize the limitations of some common statistical techniques for uncovering causal relationships.

The outcomes of this workshop include knowledge of
> Experimental and observational studies
> Objectives of statistical analyses
> Structural assumptions
> Graphical representations
> Counterfactual notation

Instructor: Prof. David A. Stephens, Department of Mathematics and Statistics.

Date:: Friday, September 20, 2024
Time:: 10:00am - 12:00pm
Location:: Burnside 1104 (11th floor) (Map )
Categories:: Statistics

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Registration is required. There are 23 in-person seats available. There are 29 online seats available.

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Nadime Rahimian

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Causal inference I In-Person / Online

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