BSTA 5370

Categorical Data Analysis

Focuses on theory and methods for analysis of categorical response and count data including contingency tables, logistic regression, loglinear modeling of association structures, the Cochran-Mantel-Haenszel test for detecting conditional association, linear predictor modeling using weighted least squares, tests of marginal homogeneity, generalized linear models, models for matched pairs categorical data, generalized mixed linear models, etc. The statistical package SAS is used extensively in this course.

Units: 3.0