Polytomous logistic models

Polytomous logistic models are statistical tools used to analyze categorical outcomes with more than two categories. Unlike binary logistic regression, which deals with only two outcome categories, polytomous logistic regression allows for the analysis of outcomes with multiple categories.

The model extends the principles of logistic regression to accommodate multiple categories by using a set of binary logistic regression equations. In essence, it estimates the odds of being in one category relative __________ ___ _____ __________ _______ _________.
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