Introduction Logistic Regression for Responses with More than Two Categories

The binary logistic regression is a model that is used when the dependent variable is binary.  When the dependent variable is a nominal variable with more than two categories, a multinomial logistic regression can be used. When the response categories of the dependent variable are ordered, ordinal logit models can be used. The workshop is intended for people who would like to learn about multicategory logistic regression analysis in their research.   No previous experience with or knowledge is necessary, although knowledge of binary logistic regression is helpful.

The emphasis will be on deciding when multicategory regression is appropriate, the terminology used, and the interpretation of the results. Output from statistical software will be used in explaining how to interpret results.

Fee: None, but registration is required.

Offered by: Simona Despa, Cornell Statistical Consulting Unit

For times and locations of upcoming workshops, please see the Workshop Schedule.