Select one of the options below:
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.
Does not apply to Master of Applied Statistics program.
STAR 512 or STAR 513 or STAT 512.
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.