STAT8310 - Applied Categorical Data Analysis

• Prerequisite: STAT8210
• Credit hours: 3-0-3
• This course will cover methods of contingency table analysis, including data categorization, dose-response and trend analysis, and calculation of measures of effect and association. The students will learn to use generalized linear regression models, including logistic, polychotomous logistic, Poisson and repeated measures (marginal and mixed models), and apply these appropriately to real-world data. Applications to Statistical software packages such as JMP, MINITAB and/or SAS will be used.