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Collapsibility and Suppression for Cumulative Logistic Model
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 Title & Authors
Collapsibility and Suppression for Cumulative Logistic Model
Hong, Chong-Sun; Kim, Kil-Tae;
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 Abstract
In this paper, we discuss suppression for logistic regression model. Suppression for linear regression model was defined as the relationship among sums of squared for regression as well as correlation coefficients of. variables. Since it is not common to obtain simple correlation coefficient for binary response variable of logistic model, we consider cumulative logistic models with multinomial and ordinal response variables rather than usual logistic model. As number of category of a response variable for the cumulative logistic model gets collapsed into binary, it is found that suppressions for these logistic models are changed. These suppression results for cumulative logistic models are discussed and compared with those of linear model.
 Keywords
Coefficient of determination;Log-linear model;Logit model;
 Language
Korean
 Cited by
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