Data Design and Variable Processing for Binary Logistic Regression: Events per Variable, Likert Scales, Missing Values, Dummy Coding (Mastering Regression)

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Pages: 249, Paperback, Independently published

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Prediction Performance and Probability Interpretation in Binary Logistic Regression: ROC, AUC, PR-AUC,...

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Advanced Models in Binary Logistic Regression: Interaction Effects, Nonlinear Rare-Event Models, Firth...

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Foundations of Binary Logistic Regression: Understanding Outcomes, Logits, Odds, and Odds Ratios

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