Alternative models for ordinal logistic regression

A third type of ordinal logistic model is described, the stereotype model, which in certain situations offers greater flexibility coupled with interpretational advantages and is illustrated in an analysis of pneumoconiosis among coal miners.

Abstract

Armstrong and Sloan have reviewed two types of ordinal logistic models for epidemiologic data: the cumulative-odds model and the continuation-ratio model. I review here certain aspects of these models not emphasized previously, and describe a third type, the stereotype model, which in certain situations offers greater flexibility coupled with interpretational advantages. I illustrate the models in an analysis of pneumoconiosis among coal miners.