Polytomous logistic regression
- 1 December 1988
- journal article
- Published by Wiley in Statistica Neerlandica
- Vol. 42 (4) , 233-252
- https://doi.org/10.1111/j.1467-9574.1988.tb01238.x
Abstract
In this paper a review will be given of some methods available for modelling relationships between categorical response variables and explanatory variables. These methods are all classed under the name polytomous logistic regression (PLR). Models for PLR will be presented and compared; model parameters will be tested and estimated by weighted least squares and by likelihood. Usually, software is needed for computation, and available statistical software is reported.An industrial problem is solved to some extent as an example to illustrate the use of PLR. The paper is concluded by a discussion on the various PLR‐methods and some topics that need a further study are mentioned.Keywords
This publication has 16 references indexed in Scilit:
- Polytomous logistic regression analysis of the General Health Questionnaire and the Present State ExaminationPsychological Medicine, 1989
- Rank tests and random blocking of classified dataStatistica Neerlandica, 1988
- Ordered Polytomous Regression: An Example Relating Serum Biochemistry and Haematology to Alcohol ConsumptionJournal of the Royal Statistical Society Series C: Applied Statistics, 1986
- The equivalence of two models for ordinal dataBiometrika, 1985
- An Application of Logistic Models to the Analysis of Ordinal ResponsesBiometrical Journal, 1985
- A Survey of Strategies for Modeling Cross-Classifications Having Ordinal VariablesJournal of the American Statistical Association, 1983
- A Survey of Strategies for Modeling Cross-Classifications Having Ordinal VariablesJournal of the American Statistical Association, 1983
- Regression, Discrimination and Measurement Models for Ordered Categorical VariablesJournal of the Royal Statistical Society Series C: Applied Statistics, 1981