linear regression

What are the Limitations of Linear Regression in Epidemiology?

While linear regression is a powerful tool, it has limitations:
1. Linearity Assumption: Not all relationships are linear.
2. Influence of Outliers: Outliers can disproportionately affect the model.
3. Multicollinearity: Highly correlated independent variables can distort the results.
4. Causality: Linear regression shows association but not causation.

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