Assessing Goodness of Fit for Logistic Regression
Regression diagnostics are techniques for the detection and assessment of potential problems resulting from a fitted regression model that might either support, compromise, or negate the assumptions made about the regression model and/or the conclusions drawn from the analysis of one’s data.
KeywordsLogistic Regression Saturated Model Covariate Pattern Deviance Statistic Data Layout
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