Abstract
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.
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© 2010 Springer Science+Business Media, LLC
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Kleinbaum, D.G., Klein, M. (2010). Assessing Goodness of Fit for Logistic Regression. In: Logistic Regression. Statistics for Biology and Health. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-1742-3_9
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DOI: https://doi.org/10.1007/978-1-4419-1742-3_9
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Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-1741-6
Online ISBN: 978-1-4419-1742-3
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