Using Binary Logistic Regression Models for Ordinal Data with Non-proportional Odds
- 1 October 1998
- journal article
- research article
- Published by Elsevier in Journal of Clinical Epidemiology
- Vol. 51 (10) , 809-816
- https://doi.org/10.1016/s0895-4356(98)00066-3
Abstract
No abstract availableKeywords
This publication has 24 references indexed in Scilit:
- Multi‐state models and diabetic retinopathyStatistics in Medicine, 1995
- Location—scale cumulative odds models for ordinal data: A generalized non‐linear model approachStatistics in Medicine, 1995
- An Analysis of Risk Factors for Prevalent Coronary Heart Disease by Using the Proportional Odds ModelJournal of the Royal Statistical Society: Series D (The Statistician), 1995
- Alternative models for ordinal logistic regressionStatistics in Medicine, 1994
- Cigarette Smoking and Diabetes: An UpdateDiabetic Medicine, 1994
- Partial Proportional Odds Models for Ordinal Response VariablesJournal of the Royal Statistical Society Series C: Applied Statistics, 1990
- Polytomous logistic regressionStatistica Neerlandica, 1988
- Regression modelling strategies for improved prognostic predictionStatistics in Medicine, 1984
- Calculation of Polychotomous Logistic Regression Parameters Using Individualized RegressionsBiometrika, 1984
- Logistic Regression DiagnosticsThe Annals of Statistics, 1981