Conditional independence (d-separation)

Из курса от партнера University of Pennsylvania
A Crash Course in Causality: Inferring Causal Effects from Observational Data
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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.

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  • Jason A. Roy, Ph.D.
    Jason A. Roy, Ph.D.
    Professor of Biostatistics
    Department of Biostatistics and Epidemiology

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