Advanced Regression (353-0-20)

Instructors

Laura Elizabeth Tipton

Meeting Info

University Hall 122: 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.