STA 395-01 - Advanced Special Topic: Categorical Data Analysis

4 credits (Spring)

This course is intended to serve as an introduction to topics associated with categorical data analysis. This includes an introduction to various study designs, a number of distributions and tests commonly used for statistical inference, the analysis of contingency tables, and a comprehensive exploration of logistic regression and generalized linear models (GLMs). Data from a variety of disciplines will provide context for these topics, with a special emphasis on using the R language for analyses.

Prerequisite: STA 310 with grade S, C, or better.
Instructor: Nolte