On Graphically Checking Goodness-of-fit of Binary Logistic Regression Models

Gillmann, Gerhard; Minder, C E (2009). On Graphically Checking Goodness-of-fit of Binary Logistic Regression Models. Methods of information in medicine, 48(3), pp. 306-310. Stuttgart: Schattauer 10.3414/ME0571

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OBJECTIVES: This paper is concerned with checking goodness-of-fit of binary logistic regression models. For the practitioners of data analysis, the broad classes of procedures for checking goodness-of-fit available in the literature are described. The challenges of model checking in the context of binary logistic regression are reviewed. As a viable solution, a simple graphical procedure for checking goodness-of-fit is proposed. METHODS: The graphical procedure proposed relies on pieces of information available from any logistic analysis; the focus is on combining and presenting these in an informative way. RESULTS: The information gained using this approach is presented with three examples. In the discussion, the proposed method is put into context and compared with other graphical procedures for checking goodness-of-fit of binary logistic models available in the literature. CONCLUSION: A simple graphical method can significantly improve the understanding of any logistic regression analysis and help to prevent faulty conclusions.

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