Apr 19, 2024  
Graduate Record 2020-2021 
    
Graduate Record 2020-2021 [ARCHIVED RECORD]

STAT 6260 - Categorical Data Analysis


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. Prerequisite: Graduate standing in Statistics, or instructor permission.



Credits: 3