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The General Linear Model 20/21

This course provides an introduction to the general linear model (GLM). The GLM affords a unifying perspective on classical frequentist statistical methods such as T and F tests, simple and multiple linear regression, the analysis of variance, and the analysis of covariance. In addition, the mathematical machinery of the GLM forms the basis for many more advanced data analysis methods ranging from frequentist mixed linear models to neural networks to Bayesian hierarchical models.