This course provides an introduction to modern-day extensions of simple linear regression and ANOVA to the chi-square test including logistic regression and log-linear modeling techniques based on generalized linear models. Specialized methods for ordinal data, small samples, multi-category data, and matched pairs will also be discussed. The focus throughout this course will be on applications and real-life data sets.
STAT 410 - 001
Categorical Data Analysis
Session
Regular Academic Session
Class Number
3782
Career
Graduate
Units
3 units
Grading
Graded
Description
This course provides an introduction to modern-day extensions of simple linear regression and ANOVA to the chi-square test including logistic regression and log-linear modeling techniques based on generalized linear models. Specialized methods for ordinal data, small samples, multi-category data, and matched pairs will also be discussed. The focus throughout this course will be on applications and real-life data sets.
Enrollment Requirements
Restricted to Graduate School students.
Class Actions
Class Details
Instructor(s)
Timothy O'Brien
Meets
TuTh 2:30PM - 3:45PM
Dates
01/12/2026 - 05/02/2026
Room
TBA
Instruction Mode
In person
Campus
Lake Shore Campus
Location
Lake Shore Campus
Components
| Lecture Required |
Class Availability
Status
Open
Seats Taken
0
Seats Open
40
Class Capacity
40
Wait List Total
0
Wait List Capacity
0