DATA 545 - Applied Regression

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FA. This course takes a practical approach to the fitting, assessment, interpretation, and presentation of statistical models, introducing students to a broad range of applied regression methods via case studies with real datasets. Topics include data preparation and visualization, the generalized linear model framework, and specific examples of frequently used models (such as multiple regression, regression for count and binary data, generalized additive models, and models to account for hierarchical structure or dependence).