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Explore group-level confounding effects and gain an introduction to social network analysis in this 59-minute statistical modeling lecture. Learn how confounding variables operate at the group level and discover fundamental concepts in social network analysis as part of a comprehensive statistical rethinking curriculum. Master advanced techniques for identifying and addressing confounding in hierarchical data structures while building foundational knowledge of network-based statistical approaches. Access accompanying materials and the complete course content through the provided GitHub repository to reinforce your understanding of these complex statistical concepts.
Syllabus
Statistical Rethinking 2026 Lecture B04 - Group-level confounding and intro to social networks
Taught by
Richard McElreath