||STAT 22600=PBHS 32600
||Analysis of Categorical Data
|| You-Lin Chen, Byol Kim, and Tae Hyun Kim
||Sec 01: TR 2:00–3:20PM in Hinds 101
||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 or 24510 and two quarters of calculus.