Applied Categorical Data Analysis *

Course Number: 
421
Credits: 
3
Frequency: 
Fall
Course Description: 
Analysis of multidimensional contingency tables, Poisson regression, and logistic regression, with emphasis on practical applications. Use of computer programs for such analyses. Model selection, testing goodness of fit, estimation of parameters, measures of association and methods for detecting sources of significance.
Course Prerequisites: 
Stat 333
Course Audience: 
Students majoring in math or statistics or those wishing to take additional statistics courses.