BSTA 5370 - Categorical Data Analysis

(3 credit hours)

Prerequisites: BSTA 5310 The focus is on the 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 approach to detecting conditional association, linear predictor modeling using weighted least squares, tests of marginal homogeneity, generalized linear models, models for matched pairs, generalized mixed linear models, etc. The statistical package SAS will be used extensively in this course. Beginning in Spring 2011

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