This course provides students with the theories of the classical linear model and the general linear model for continuous outcome and linear relations, then the Generalized Linear Model for nonlinear relations and discrete outcomes. The first half of the course includes theories of the linear regression model with the matrix algebra and multivariate normal distribution, then to the analysis of quadratic forms and the study of the General Linear Model. The second half of the course begins with an introduction of the components of a Generalized Linear Model and methods of fitting these models. It also covers the most widely used types of models, such as logistic regression and log-linear models.
Yin, Jingjing, "BIOS 9136 - General and Generalized Linear Models" (2021). Public Health Syllabi. 479.