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This introductory course presents statistical models, scientific workflow, and directed acyclic graphs (DAGs) as tools for causal inference. It outlines the concepts and workflow developed in the broader Statistical Rethinking course.
Syllabus
Introduction
Golems and statistical models
Owls and scientific workflow
DAGs and causal inference
Summary and course outline
Taught by
Richard McElreath