Communications for Statistical Applications and Methods

The Korean Statistical Society (한국통계학회)
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Suppression and Collapsibility for Log-linear Models

  • Published : 2004.12.01
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Abstract

Relationship between the partial likelihood ratio statistics for logisitic models and the partial goodness-of-fit statistics for corresponding log-linear models is discussed. This paper shows how definitions of suppression in logistic model can be adapted for log-linear model and how they are related to confounding in terms of collapsibility for categorical data. Several $2{times}2{times}2$ contingency tables are illustrated.

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References

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