STAT 8310 - Applied Categorical Data Analysis

3 Class Hours 0 Laboratory Hours 3 Credit Hours
Prerequisite: STAT 8210.
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.