The Confidence Intervals for Logistic Model in Contingency Table

Title & Authors
The Confidence Intervals for Logistic Model in Contingency Table
Cho, Tae-Kyoung;

Abstract
We can use the logistic model for categorical data when the response variables are binary data. In this paper we consider the problem of constructing the confidence intervals for logistic model in I$\small{{\times}}$J$\small{{\times}}$2 contingency table. These constructions are simplified by applying logit transformation. This transforms the problem to consider linear form which called the logit model. After obtaining the confidence intervals for the logit model, the reverse transform is applied to obtain the confidence intervals for the logistic model.
Keywords
logistic model;contingency table;logit model;
Language
English
Cited by
References
1.
Biometrika, vol.71. pp.1-10

2.
Nonlinear Parameter Estimates,

3.
The Analysis of Binary Data,

4.
measures of Association for Cross classifications,

5.
Analysis of Qualitative Data, vol.1.

6.
Biometrics, vol.14. pp.453-461

7.
SAS/IML,

8.
J. Roy. Statist. Soc. B, vol.43. pp.310-313