Select one of the options below:
Topics in linear, generalized linear, and nonlinear models with fixed and random predictors, and balanced and unbalanced cases. Statistical topics integrated with the use of the computer packages SAS and R.
STAA 552 (Generalized Regression Models); STAA 553 (Experimental Design. Must have concurrent registration.); Graduate standing. Written consent of instructor.
Please check the CSU Bookstore for textbook information. Textbook listings are available at the CSU Bookstore about 3 weeks prior to the start of the term.
9704916330 | kirsten.eilertson@colostate.edu
Kirsten Eilertson is originally from Minnesota. She earned her PhD in Statistics from Cornell University. She is an applied statistician, and has previously worked at The Gladstone Institutes at UC San Francisco and Penn State University. Her recent research has focused on modeling the impact of vaccination programs on disease burden in low- and middle-income countries. In her free time you may find her planning her next travel itinerary or hiking with her dog and husband, while optimistically anticipating The Winds of Winter by George R.R. Martin.