Fit Assessment and Identification of Functional Form in Logistic Regression

Salomon Minkin

Journal of the Royal Statistical Society Series C, 1989, vol. 38, issue 2, 343-350

Abstract: For the analysis of binary data using logistic regression, there is a need for simple techniques for detecting model inadequacies and suggesting corrective actions. This paper proposes an approach based on the use of line segments to approximate the effect of a predictor. This provides the basis for easily implemented goodness‐of‐fit tests and graphical methods for identifying the nature of the non‐linearities. Methods for selecting the join points are discussed, and their use is illustrated with data from breast cancer patients.

Date: 1989
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Persistent link: https://EconPapers.repec.org/RePEc:bla:jorssc:v:38:y:1989:i:2:p:343-350

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