Search Results

BST 823 Theory of Generalized Linear and Mixed Models 3.0 Credits

This course is an advanced doctoral course, intended to familiarize students with both the theory and applications of the generalized linear and mixed models. The first third of the course will be devoted to the study of the generalized linear model. The remainder of the course will be devoted to the study of models for correlated data; in particular, we will discuss the theory and applications of the linear mixed model. If time permits, generalized estimating equations (GEEs) and generalized linear mixed models (GLMM) will be introduced.

College/Department: Dornsife School of Public Health
Repeat Status: Not repeatable for credit
Prerequisites: BST 651 [Min Grade: C], BST 851 [Min Grade: C] (Can be taken Concurrently) and (BST 570 [Min Grade: C] or BST 870 [Min Grade: C])