Suppression and Collapsibility for Log-linear Models

Title & Authors
Suppression and Collapsibility for Log-linear Models
Sun, Hong-Chong;

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 $\small{2{times}2{times}2}$ contingency tables are illustrated.
Keywords
Confounding;Goodness-of-fit statistic;Logistic;Likelihood ratio statistic;Suppressor variable;
Language
Korean
Cited by
1.
로지스틱 회귀모형에서의 SUPPRESSION,홍종선;김호일;함주형;

응용통계연구, 2005. vol.18. 3, pp.701-712
2.
Collapsibility and Suppression for Cumulative Logistic Model,Hong, Chong-Sun;Kim, Kil-Tae;

Communications for Statistical Applications and Methods, 2005. vol.12. 2, pp.313-322
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