||STAT 22600=PBHS 32600
||Analysis of Categorical Data
||Zhipeng Lou, Minzhe Wang, and Bumeng Zhuo
||Sec 01: TR 1:30–2:50PM in Eckhart 133
||Agresti, Introduction to Categorical Data Analysis, 2nd edition
||This course covers statistical methods for the analysis of qualitative and counted data. Topics include description and inference for binomial and multinomial data using proportions and odds ratios; multi-way contingency tables; generalized linear models for discrete data; logistic regression for binary responses; multi-category logit models for nominal and ordinal responses; loglinear models for counted data; and inference for matched-pairs and correlated data. Applications and interpretations of statistical models are emphasized.
Prerequisite(s): STAT 22000 or 23400 or 24500 and two quarters of calculus.