The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Alternative models for ordinal logistic regression
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.
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Cites
Logistic regression, survival analysis, and the Kaplan-Meier curve.
Efron, B. (1988) · Journal of the American Statistical Association · doi:10.1080/01621459.1988.10478612 · Cited by 1,065
Cited by
How to diagnose rheumatoid arthritis early: A prediction model for persistent (erosive) arthritis
Visser, H., le Cessie, S., Vos, K., Breedveld, F. C., & Hazes, J. M. W. (2002) · Arthritis & Rheumatism · doi:10.1002/art.10117 · Cited by 731
Regression models for ordinal responses: a review of methods and applications
Ananth, C. (1997) · International Journal of Epidemiology · doi:10.1093/ije/26.6.1323 · Cited by 593
Statistical assessment of ordinal outcomes in comparative studies
Scott, S. C., Goldberg, M. S., & Mayo, N. E. (1997) · Journal of Clinical Epidemiology · doi:10.1016/s0895-4356(96)00312-5 · Cited by 337
Muchie, K. F. (2016) · BMC Nutrition · doi:10.1186/s40795-016-0093-3 · Cited by 44
Mixture-based clustering for the ordered stereotype model
Fernández, D., Arnold, R., & Pledger, S. (2016) · Computational Statistics & Data Analysis · doi:10.1016/j.csda.2014.11.004 · Cited by 39
Metadata
- Authors
- Greenland, S.
- Venue
- Statistics in Medicine
- Publisher
- Wiley
- Published
- 1994-08-30
- Volume
- 13
- Issue
- 16
- Pages
- 1665-1677
- ISSN
- 0277-6715 (ISSN-L)
- 1097-0258
- OpenAlex
- W2003437905
- Cited by
- 169
- References
- 1
- FWCI
- 4.57
- Type
- journal article
- Language
- en
- Open access
- closed
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