Applied Categorical Data Analysis Credit Hours: 3 hours The methodology of categorical data analysis and its applications. The course covers descriptive and inferential methods for contingency tables, an introduction to generalized linear models, logistic regression, multinomial response models, regression for counts, and methods for categorical data from matched pairs. Prerequisite or Corequisite: Undergraduate Pre or Corequisite: STAT 4220 and STAT 4230/6230 and STAT 4510/6510 Graduate Pre or Corequisite: STAT 6420 and STAT 4510/6510 Level: Graduate Undergraduate
