Abstract
In this chapter, the standard logistic model is extended to handle outcome variables that have more than two categories. Polytomous logistic regression is used when the categories of the outcome variable are nominal, that is, they do not have any natural order. When the categories of the outcome variable do have a natural order, ordinal logistic regression may also be appropriate.
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© 2010 Springer Science+Business Media, LLC
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Kleinbaum, D.G., Klein, M. (2010). Polytomous Logistic Regression. In: Logistic Regression. Statistics for Biology and Health. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-1742-3_12
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DOI: https://doi.org/10.1007/978-1-4419-1742-3_12
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Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-1741-6
Online ISBN: 978-1-4419-1742-3
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