Titlebook: Logistic Regression; A Self-Learning Text David G. Kleinbaum,Mitchel Klein Textbook 2010Latest edition Springer Science+Business Media, LLC

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Polytomous Logistic Regression,n 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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Logistic Regression for Correlated Data: GEE,d for modeling this type of data is the generalized estimating equations (GEE) model, which takes into account the correlated nature of the responses. If such correlations are ignored in the modeling process, then incorrect inferences may result.

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Other Approaches for Analysis of Correlated Data,ther than GEE. Three other analytic approaches are discussed. These include the alternating logistic regressions algorithm, conditional logistic regression, and the generalized linear mixed model approach.

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