Computer Science
8 years ago

Unlocking the Power of Predicting Multiple Outcome Categories with Ordinal Logistic Regression

Statistics in the health sciences
Ordinal Logistic Regression
David G. Kleinbaum, Mitchel Klein

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Ordinal logistic regression is a statistical method used when dealing with outcomes that have multiple ordered categories. This approach extends the standard logistic model to handle situations where the outcome variable has a natural order. By using ordinal logistic regression, researchers can analyze and understand data with more than two categories in a systematic way.