Categorical Data Analysis

Catalog description

Standard techniques for analyzing and describing two-dimensional contingency tables. Logistic regression models and loglinear models developed for data structures involving categorical response variables, including model selection procedures, diagnostics, association graphs, and collapsibility. SAS procedures used for analysis of data sets. Multi-graph representations. Repeated categorical response data and generalized linear mixed effects models. Prerequisite(s): Graduate level STT 6620 Minimum Grade of C and Graduate level STT 6660 Minimum Grade of C