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Transformations of the Explanatory Variables in the Logistic Regression Model for Binary Data

Richard Kay and Sarah Little
Biometrika
Vol. 74, No. 3 (Sep., 1987), pp. 495-501
Published by: Oxford University Press on behalf of Biometrika Trust
DOI: 10.2307/2336688
Stable URL: http://www.jstor.org/stable/2336688
Page Count: 7
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Transformations of the Explanatory Variables in the Logistic Regression Model for Binary Data
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Abstract

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.

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