Statistics 631 - Categorical Data Analysis

Distribution and inference for binomial and multinomial variables with contingency tables, generalized linear models, logistic regression for binary responses, logit models for multiple response categories, loglinear models, inference for matched-pairs and correlated clustered data.

Open to Graduate students only. This class meets on the Newton Campus of UMass-Amherst. This course may be taken remotely. Please enroll and contact the instructor if you would like to take the course remotely.

Note: Previous course work in probability and mathematical statistics including knowledge of distribution theory, estimation, confidence intervals, hypothesis testing and multiple linear regression; e.g. Stat 516 and Stat 525