Advanced Regression (353-0-20)
Instructors
Elizabeth Tipton
Meeting Info
555 Clark B01: Tues, Thurs 3:30PM - 4:50PM
Overview of class
This course covers modern regression methods, including: (1) generalized linear models (binary, categorical, and count data), (2) random effects, mixed effects, and non-linear models, and (3) model selection. The course emphasizes both the theoretical development of the methods, as well as their application, including the communication of models and results .
Registration Requirements
STAT 350 and one of: STAT 320-2 or 420-2 or MATH 310-2
Teaching Method
Lecture and labs
Evaluation Method
Homework, Projects, Exams.
Class Materials (Required)
We will use two books:
-Faraway, Extending the Linear Model with R, 2016.
-James, Witten, Hastie, and Tibshirani, An Introduction to Statistical Learning (2nd edition), 2021 (this book can be downloaded from the publisher for free)..
We will also use the free statistical program R.
Class Attributes
Formal Studies Distro Area
Enrollment Requirements
Enrollment Requirements: Co-requisites: STAT 320-2 or 420-2 or MATH 310-2 and a first course in regression is required at the level of STAT 350-0.
Add Consent: Department Consent Required