Categorical Data Analysis

In this course we will survey the statistical methods used for the analysis of categorical data including methods for analyzing binary, multinomial, and count response variables. Tests and confidence intervals for the difference in proportions, relative risks, odds ratios, matched pairs, and logistic regression will be discussed. Nominal and ordinal responses will be considered. Additional topics may include larger contingency tables and Poisson, and negative-binomial regression models. Applications include examples in biology, economics, medicine, agriculture, and industry. R statistical software will be used for data analysis. (MATH 0116 or PSYC 0201 or ECON 0210; or by waiver) 3 hrs. lect.