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S. Fienberg (1980)
The analysis of cross-classified categorical data
J. Alho (1992)
On prevalence, incidence, and duration in general stable populations.Biometrics, 48 2
B. Peterson (1990)
Re: "Ordinal regression models for epidemiologic data".American journal of epidemiology, 131 4
E. Läärä, J. Matthews (1985)
The equivalence of two models for ordinal dataBiometrika, 72
P. McCullagh (1985)
Statistical and Scientific Aspects of Models for Qualitative Data
Anderson Anderson (1984)
Regression and ordered categorical variables (with discussion)Journal of the Royal Statistical Society, Series B, 46
J. Ashford (1959)
An Approach to the Analysis of Data for Semi-Quantal Responses in Biological AssayBiometrics, 15
N. Keiding (1991)
Age‐Specific Incidence and Prevalence: A Statistical PerspectiveJournal of The Royal Statistical Society Series A-statistics in Society, 154
Greenland Greenland (1985)
An application of logistic models to the analysis of ordinal responsesBiometrical Journal, 2
Bruce Barron, Ralph Richart (1968)
A statistical model of the natural history of cervical carcinoma based on a prospective study of 557 cases.Journal of the National Cancer Institute, 41 6
B. Efron (1988)
Logistic Regression, Survival Analysis, and the Kaplan-Meier CurveJournal of the American Statistical Association, 83
Peterson Peterson (1990)
Letter to EditorAmerican Journal of Epidemiology, 131
Ben Armstrong, Margaret Sloan (1989)
Ordinal regression models for epidemiologic data.American journal of epidemiology, 129 1
S. Greenland (1985)
An Application of Logistic Models to the Analysis of Ordinal ResponsesMarch 1985
J. Anderson (1972)
Separate sample logistic discriminationBiometrika, 59
A. Agresti (1985)
Analysis of Ordinal Categorical Data
H. Jick, R. Watkins, J. Hunter, B. Dinan, S. Madsen, K. Rothman, A. Walker (1979)
Replacement estrogens and endometrial cancer.The New England journal of medicine, 300 5
McCullagh McCullagh (1984)
Discussion of Professor Anderson's paperJournal of the Royal Statistical Society, Series B, 46
J. Anderson (1984)
Regression and Ordered Categorical VariablesJournal of the royal statistical society series b-methodological, 46
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.
Statistics in Medicine – Wiley
Published: Aug 30, 1994
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