Mark Tygert, Rachel Ward
Abstract
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Explicitly accounting for all applicable independent variables, even when the model being tested does not, is critical in testing goodness-of-fit for logistic regression. This can increase statistical power by orders of magnitude.
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Explicitly accounting for all applicable independent variables, even when the model being tested does not, is critical in testing goodness-of-fit for logistic regression. This can increase statistical power by orders of magnitude.
Key concepts: Goodness of fit, Logistic regression, Statistics, Econometrics, Regression analysis, Regression diagnostic, Logistic distribution, Mathematics