Communications for Statistical Applications and Methods

  • 제11권3호
  • /
  • Pages.519-527
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  • 2004
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  • 2287-7843(pISSN)
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  • 2383-4757(eISSN)
한국통계학회 (The Korean Statistical Society)
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Suppression and Collapsibility for Log-linear Models

  • 발행 : 2004.12.01
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초록

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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참고문헌

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