Editing Logistic regression (section)

==Extensions==
There are large numbers of extensions:
* [[Multinomial logistic regression]] (or '''multinomial logit''') handles the case of a multi-way [[categorical variable|categorical]] dependent variable (with unordered values, also called "classification").  The general case of having dependent variables with more than two values is termed ''polytomous regression''.
* [[Ordered logistic regression]] (or '''ordered logit''') handles [[Levels of measurement#Ordinal measurement|ordinal]] dependent variables (ordered values).
* [[Mixed logit]] is an extension of multinomial logit that allows for correlations among the choices of the dependent variable.
* An extension of the logistic model to sets of interdependent variables is the [[conditional random field]].
* [[Conditional logistic regression]] handles [[Matching (statistics)|matched]] or [[stratification (clinical trials)|stratified]] data when the strata are small. It is mostly used in the analysis of [[observational studies]].