Statistics | Statistical Methods IIb: Generalized Linear Models and Categorical Data
S503 | 29596 | Shelley Nelson

This course introduces techniques for categorical data analysis,
focusing on models in which the dependent variable is either binary,
ordinal, nominal or count. Such models include probit, logit, ordered
logit and probit, multinominal logit, Poisson regression, negative
binomial regression, and zero-inflated count models. Students learn
how to apply these techniques in their own research.