A Graphical Method for Assessing the Fit of a Logistic Regression Model
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Before a logistic regression model is used to describe the relationship between a binary response variable and predictors, the fit of the model should be assessed. The nature of any model deficiency may indicate that some aspect of the model should be reformulated or that poorly fitting observations need to be considered separately. We propose graphical methodology based on a Bayesian framework to address issues such as this. Publicly available software allows diagnostic plots to be constructed quickly and easily for any model of interest. These plots are more intuitive and meaningful than traditional graphical diagnostics such as residual plots.
‘A Graphical Method for Assessing the Fit of a Logistic Regression Model’, and Cook The American Statistician, 56 (4) (2002): 263–272. Copyright 2002. Reproduced with permission of Taylor & Francis Informa UK Ltd - Journals in the format Textbook via Copyright Clearance Center.
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