Logistic regression can be adapted for multi-class classification where there are three or more possible prediction values. This can be done either by modifying the underlying code directly, or ...

Notice the data is not linearly separable so simple classification techniques such as multi-class logistic regression, decision trees and non-kernel multi-class support vector machines would likely ...

The LOGISTIC and PROBIT procedures can perform logistic and ordinal logistic regression. See Chapter 5, "Introduction to Categorical Data Analysis Procedures," Chapter 39, "The LOGISTIC Procedure," ...

A multi-state version of an animal movement analysis method based on conditional logistic regression, called Step Selection Function (SSF), is proposed. In ecology SSF is developed from a comparison ...

We accommodate the longitudinal nature of the multiple outcomes with a unique extension of the nested random effects logistic model with an autoregressive structure to include drop-out and baseline ...