Gillmann, G; Minder, C E (2009). On Graphically Checking Goodness-of-fit of Binary Logistic Regression Models. Methods of Information in Medicine, 48(3):306-310.
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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.
|Item Type:||Journal Article, refereed, original work|
|Communities & Collections:||04 Faculty of Medicine > University Hospital Zurich > Clinic and Policlinic for Internal Medicine|
|Dewey Decimal Classification:||610 Medicine & health|
|Deposited On:||01 Mar 2010 15:03|
|Last Modified:||05 Apr 2016 13:58|
|Free access at:||PubMed ID. An embargo period may apply.|
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