BSTA 513 Categorical Data Analysis

This course builds on regression analysis from BSTA 512 by extending models to categorical outcomes. The course introduces risk and odds ratios through contingency tables and develops the theoretical foundations needed to interpret and apply logistic regression appropriately. Emphasis is placed on fitting logistic regression models, interpreting coefficients, predicting probabilities and outcomes, and diagnosing potential model issues. Related regression approaches, including log-binomial and Poisson regression, are also covered.