PUBH 5370 - Categorical Data Analysis

Focus 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 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 is used extensively in this course. Beginning in Spring 2011

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