Categorical data analysis, estimation and testing for contingency tables, introduction to generalized linear models, logit and probit models for binary regression, extensions to nominal and ordinal multicategory responses, count data, Poisson and negative binomial regression, log-linear models.
STAA 551 (Regression Models and Applications or concurrent registration) or Data Analysis and Regression; or written consent of instructor. This is a partial-semester course.
Tuition includes access to lecture recordings which are available by streamed video. Lecture recordings may also be available by download or on DVD. To determine viewing options, contact the Department of Statistics degree program staff at firstname.lastname@example.org. Visit the Department of Statistics website to learn more about what to do after registration, including creating your eID (if necessary) and accessing your course.
Ann Marie Hess
Dr. Hess earned her Ph.D. in Statistics from CSU in 2005. Her areas of interest include bioinformatics, experimental design, linear models and statistical consulting.