Stat 439 - Introduction to Categorical Data Analysis

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Course Description

Stat 439 is a course in data analysis for a categorical response variable. By the end of this course, students should understand:

1. categorical response data and how it differs from continuous response data
2. statistical inference for proportions, including the use of likelihood, Wald procedures, score procedures and likelihood-ratio procedures
3. contingency table analysis including 2x2 and higher-order tables, estimation and testing for odds ratios, chi-squared tests of independence, Fisher's Exact Test
4. the basic theory and interpretation of generalized linear models, including logistic regression, multinomial logistic regression, and Poisson regression
5. analysis of matched pairs categorical data.
6. the basics of the analysis of correlated and clustered categorical response data including generalized estimating equations and generalized linear mixed models.