Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...

For binary logistic regression, dependent variables must be binary, while ordinal logistic regression requires ordinal dependent variables—variables that occur in natural, ordered categories ...

The models used are binary logistic regression models based on the full sample of U.S. adults surveyed for this study. ... Included in the model as a categorical variable, with Dem/Lean Dem and No ...

Course Topics"Logistic and Poisson Regression," Wednesday, November 5: The fourth LISA mini course focuses on appropriate model building for categorical response data, specifically binary and count ...