Alternative models for ordinal logistic regression
- 30 August 1994
- journal article
- research article
- Published by Wiley in Statistics in Medicine
- Vol. 13 (16) , 1665-1677
- https://doi.org/10.1002/sim.4780131607
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.Keywords
This publication has 14 references indexed in Scilit:
- On Prevalence, Incidence, and Duration in General Stable PopulationsPublished by JSTOR ,1992
- Age-Specific Incidence and Prevalence: A Statistical PerspectiveJournal of the Royal Statistical Society Series A: Statistics in Society, 1991
- ORDINAL REGRESSION MODELS FOR EPIDEMIOLOGIC DATAAmerican Journal of Epidemiology, 1989
- Logistic Regression, Survival Analysis, and the Kaplan-Meier CurveJournal of the American Statistical Association, 1988
- The equivalence of two models for ordinal dataBiometrika, 1985
- An Application of Logistic Models to the Analysis of Ordinal ResponsesBiometrical Journal, 1985
- Replacement Estrogens and Endometrial CancerNew England Journal of Medicine, 1979
- Separate sample logistic discriminationBiometrika, 1972
- An Approach to the Analysis of Data for Semi-Quantal Responses in Biological AssayBiometrics, 1959