STAT 504: Analysis of Discrete Data

Course Objectives

• To develop a critical approach to the analysis of contingency tables
• To examine the basic ideas and methods of generalized linear models
• To link logit and log-linear methods with generalized linear models
• To develop basic facility in the analysis of discrete data using SAS/R

In this course, we'll learn basic principles and statistical methods relevant for the analysis of discrete and categorical responses. Typical examples include whether or not a "success" occurs, extent of agreement, and a count of some occurrence. Software, such as R and SAS, will be used for most of the computation, but the emphasis will be on understanding the concepts underlying those procedures and on interpreting the results.