Advanced Statistics Module I: Categorical Data Analysis

Catalog description

This course is a half-semester advanced statistics module. The module covers basic and advanced categorical data analysis techniques. It starts with such topics as the binomial test, McNamar’s, various uses of the chi-square test, means and correlation tests for rank data. It then reviews log-linear regression, logit, and logistic regression and expands on logistic regression (e.g., Poisson, multinomial). Finally, it introduces linear and generalized mixed-effects models.