Skip to main content
Sponsored

STAT 6260

Categorical Data Analysis

Course Description

Prerequisites

Graduate standing in Statistics, or instructor permission

This course develops fundamental methodology to the analysis of categorical data. Topics include contingency tables, generalized linear models, logistic regression, and logit and loglinear models. Conceptual discussion in lectures is supplemented with hands-on practice in applied data-analysis tasks using SAS or R statistical software.

No instructors this semester

This course isn't being taught this semester. Click "All Time" to see previous instructors.