Data defines the model by dint of genetic programming, producing the best decile table.


CHAID for Interpreting a Logistic Regression Model
Bruce Ratner, Ph.D.

The logistic regression model is the standard technique for building a response model in database marketing. Its theory is well established and its estimation algorithm is available in all major statistical software packages. The literature on the theoretical aspects of logistic regression is large and rapidly growing. However, little attention is paid to the interpretation of logistic regression response model. The purpose of this article is to present a CHAID-based method for interpreting a logistic regression model, specifically, to provide a complete assessment of the effects of the predictor variables on response.

For more information about this article, call me at 516.791.3544, or e-mail, br@dmstat1.com.
My publisher owns the copyright of the article, about which this abstract addresses. The article will appear in my forthcoming book.
My publisher has granted me permission to discuss orally the article's content, but by no means provide an outline, a draft or proof-ready of the article.


Sign-up for a free GenIQ webcast: Click here.