Communications for Statistical Applications and Methods

The Korean Statistical Society (한국통계학회)
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The Confidence Intervals for Logistic Model in Contingency Table

  • Cho, Tae-Kyoung (Dept. of Statistics and Information Science, Dongguk University)
  • Published : 2003.12.01
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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${\times}$J${\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.

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References

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