Regression Modeling Strategies: - With Applicatio...

Harrell’s primary mission is to combat . He argues against common but flawed practices like: Using P-values to select variables (Stepwise regression). Dropping "insignificant" variables from a final model.

Categorizing continuous predictors (e.g., splitting age into groups). 🛠️ Key Technical Strengths Regression Modeling Strategies: With Applicatio...

Extensive use of restricted cubic splines to let the data dictate the shape of relationships. Harrell’s primary mission is to combat

🚀 If you want to stop just "running regressions" and start building robust, honest models, this is the most important book you will ever read. Regression Modeling Strategies: With Applicatio...