|Course:||STAT 22600=PBHS 32600|
|Title:||Analysis of Categorical Data|
|Instructor(s):||L. Brant Collins|
|Teaching Assistant(s):||Pinhan Chen and Tae Hyun Kim|
|Class Schedule:||Sec 01: TR 2:00 PM–3:20 PM in Kersten 106|
|Textbook(s):||Agresti, Introduction to Categorical Data Analysis, 2nd edition|
|Description:||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.