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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.
