Categorical Data Analysis and Generalized Linear Models Credit Hours: 3 hours Categorical data analysis and generalized linear models beginning with contingency tables and their analysis. Theory of generalized linear models will then be presented, followed by more detailed and application-oriented discussions of special cases, including logistic, log-linear models, and multinomial response models. Overdispersion is also discussed. Prerequisites: STAT 8260 and (STAT 4520/6520 or STAT 6820) Semester Offered: Fall Level: Graduate
