Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

Key Concepts Explained Logistic Regression vs Linear Regression Linear Regression predicts continuous values; Logistic Regression predicts binary classes using a probability and threshold.

Linear Regression: A simple, fast model that fits a straight line to predict continuous values. Best for linear relationships and easy interpretation. Random Forest Regression: An ensemble of decision ...

Trimming or winsoring outliers can help improve the robustness and interpretability of regression analysis, it's essential to weigh the advantages against the potential disadvantages - Advantages: 1.