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Logic Regression

Logic regression is an adaptive regression and classification tool to address problems arising when data of mostly binary covariates are analyzed and the interactions between these predictors are of main interest to predict future outcomes or to identify variables that are associated with a particular outcome. Logic regression should not be confused with logistic regression: For logistic regression, the response is binary; for logic regression, the covariates are binary, but the response and the regression model can have any form. Binary covariates arise in many medical settings, such as the diagnosis of disease using phenotypic features, the identification of factors that contribute to emergency room crises, and the identification of genotypes that are associated with a particular disease. Often, the interaction between those binary predictors ...

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