Binary logistic model has been found useful for estimating odds ratio in case of dichotomous exposure variable under matched casecontrol retrospective design. We describe the use of polytomous logistic model for estimating odds ratios when the exposure of prime interest, relative to disease incidenc
Estimation in the polytomous logistic regression model
β Scribed by Meir Rom; Ayala Cohen
- Publisher
- Elsevier Science
- Year
- 1995
- Tongue
- English
- Weight
- 604 KB
- Volume
- 43
- Category
- Article
- ISSN
- 0378-3758
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
In this note we discuss the breakdown behavior of the maximum likelihood (ML) estimator in the logistic regression model. We formally prove that the ML-estimator never explodes to inΓΏnity, but rather breaks down to zero when adding severe outliers to a data set. An example conΓΏrms this behavior.
A 'partially improper' Gaussian prior is considered for Bayesian inference in logistic regression. This includes generalized smoothing spline priors that are used for nonparametric inference about the logit, and also priors that correspond to generalized linear mixed models. Necessary and su cient c