Conditional independence (d-separation)

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Instrumental Variable, Propensity Score Matching, Causal Inference, Causality

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LL

2021年4月8日

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The course is very simply explained, definitely a great introduction to the subject. There are some missing links, but minor compared to overall usefulness of the course.

OE

2020年7月29日

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I enjoyed the course a lot and I think I took a lot from it as well. The quizzes and computer projects were appropriate, and the resourcees posted were very useful.

從本節課中

Confounding and Directed Acyclic Graphs (DAGs)

This module introduces directed acyclic graphs. By understanding various rules about these graphs, learners can identify whether a set of variables is sufficient to control for confounding.

教學方

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    Jason A. Roy, Ph.D.

    Professor of Biostatistics

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