Models for Ordered and Unordered Categorical Variables
This frees you of the proportionality assumption, but it is less parsimonious and often dubious on substantive grounds. Option 3: Dichotomize the outcome and use binary logistic regression. This is common, but you lose information and it could alter your substantive conclusions. Option 4: Use a model that does not assume proportionality.
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