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What is Logistic Regression and GLMs Explained about?

Chapter 14 discusses regression models for binary response variables, including logistic and Poisson regression, and generalized linear models. It covers the formulation of response functions, the fitting of simple and multiple logistic regression models, and methods for inference and goodness of fit testing. The chapter also addresses diagnostics for logistic regression, including residuals and model selection techniques.

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