STA 293.01 Spring 2006

Categorical Data Analysis

Instructor:

I. H. Dinwoodie, Old Chemistry 219

The course will be about modeling discrete univariate and multivariate data.

Text:

Simonoff, J. Analyzing Categorical Data. Springer, New York (2003), ISBN 0-387-00749-0.

This is an applied book with a presentation based on generalized linear models. It refers to R and S-Plus for examples. Topics include generalized linear models, logistic regression, Poisson regression, and graphical models. Homework will be assigned each week, and there will be a mid-term and final exam. The prerequisites are knowledge of linear algebra and multivariable calculus, familiarity with standard probability distributions, and the willingness to learn and use R or S-Plus for computations.

Other readings:

• Agresti, A. Categorical Data Analysis. Wiley, New York (1990).
• Christensen, R. Log-linear Models and Logistic Regression. Springer, New York (1997).
• Johnson, V., and Albert, J. Ordinal Data Modeling. Springer, New York (1999).
• R Core Team. An Introduction to R.