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Predictive Modeling Using Logistic Regression Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression
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| Section | Objectives |
|---|---|
| Topic 1: ANOVA and General Linear Models | - GLM procedures in SAS - One-way and multi-way ANOVA |
| Topic 2: Logistic Regression | - Binary logistic regression - Model fit and diagnostics |
| Topic 3: Simple Linear Regression | - Model assumptions and interpretation - Residual analysis - Estimation and inference |
| Topic 4: Model Diagnostics and Validation | - Goodness-of-fit measures - Influence and leverage |
| Topic 5: Multiple Regression | - Model building and selection - Multicollinearity diagnostics - Interaction effects |
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