Statistical Rethinking 2022 - Elemental Confounds

Explore the concept of elemental confounds in statistical analysis through this comprehensive lecture. Delve into key topics including the fork, pipe, collider, and descendant confounds, as well as unobserved confounds. Learn how these elements can impact statistical reasoning and interpretation of data. Gain insights from Richard McElreath's expertise as he breaks down complex concepts into digestible segments. Access additional course materials, including slides, through the provided GitHub repository link. Enhance your understanding of statistical rethinking with this in-depth exploration of confounding factors in data analysis.