Alternative models for ordinal logistic regression

Alternative models for ordinal logistic regression 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Statistics in Medicine Wiley

Alternative models for ordinal logistic regression

Statistics in Medicine, Volume 13 (16) – Aug 30, 1994

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Publisher
Wiley
Copyright
Copyright © 1994 John Wiley & Sons, Ltd.
ISSN
0277-6715
eISSN
1097-0258
DOI
10.1002/sim.4780131607
Publisher site
See Article on Publisher Site

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.

Journal

Statistics in MedicineWiley

Published: Aug 30, 1994

References

  • An application of logistic models to the analysis of ordinal responses
    Greenland, Greenland

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