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Explore correlated varying effects in statistical modeling through this comprehensive lecture. Delve into topics such as varying effects as confounds, adding features and learning correlations, maximally varying chimpanzees, non-centered covariance, non-centered coding, and variance within and between. Gain insights from Richard McElreath's expertise as he guides you through these complex concepts, providing a thorough summary and outlook. Access additional course materials, including slides, through the provided GitHub repository link.
