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Identify techniques for selecting variables to be included in a model |
Select between competing models using measures of model fit |
Model Building
Part science, part art
11/27 - 11/29
Learning Path
Where we’ve been
Learning how to fit multivariable models for a variety of outcome types.
Where we’re at
Learning how to build a “good” model, and how to choose between models.
Objectives
Learning Materials
Directly from ASCN Chapter 10
Model Building
- More on outliers and influential points: PMA6 Ch 7.8 and 8.8
- Got a moderator? Check out Interaction terms in PMA6 Ch 8.8
- Multicollinearity (highly correlated X values): PMA6 8.9
- How to choose variables for your model sensibly: PMA6 Chapter 9
Measures of Model Fit
- Linear Regression for low RMSE, large \(R^{2}\), small AIC and BIC.
- Logistic Regression: Goodness of fit, and Accuracy
📚 Reading
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PMA6 Ch8, Ch9 |
ASCN Ch 10 |
Assignments
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