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Transformations of the Explanatory Variables in the Logistic Regression Model for Binary Data
Richard Kay and Sarah Little
Vol. 74, No. 3 (Sep., 1987), pp. 495-501
Stable URL: http://www.jstor.org/stable/2336688
Page Count: 7
You can always find the topics here!Topics: Logistics, Statistical models, Logistic regression, Binary data, Modeling, Regression analysis, Statism, Parametric models, Continuous variables, Data models
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Some results are presented on improving the fit of the logistic regression model for binary data by transforming the vector of explanatory variables. The methods are based on consideration of the distributions of these variables conditional on outcome group. The transformations required are the functions of the explanatory variables which appear in the log density ratio of the conditional distributions.
Biometrika © 1987 Biometrika Trust