Advanced Regression (353-0-20)

Instructors

Arend Matthew Kuyper
IPR, 2040 Sheridan Road, Evanston

Meeting Info

Swift Hall 107: Mon, Wed 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 the book (the 3rd edition is essential):

Fox, John. Applied Regression Analysis and Generalized Linear Models. Third Edition. 2015. Sage Publishing.

Free statistical software R (https://cran.rstudio.com/) and the free integrated development environment software RStudio (https://www.rstudio.com/). Think of R as the car engine needed to power and run everything while RStudio is the steering wheel/dashboard that we use to run and control the car.

Class Attributes

Formal Studies Distro Area

Enrollment Requirements

Enrollment Requirements: Prerequisites: STAT 350-0 and STAT 320-2 or STAT 420-2 or MATH 310-2