Regression Modeling Strategies: With Applicatio... -
Provides clear rules of thumb (like the 15-to-1 ratio) for how many variables a dataset can actually support. ⚖️ The Verdict
Categorizing continuous predictors (e.g., splitting age into groups). 🛠️ Key Technical Strengths Regression Modeling Strategies: With Applicatio...
🚀 If you want to stop just "running regressions" and start building robust, honest models, this is the most important book you will ever read. Provides clear rules of thumb (like the 15-to-1
It bridges the gap between high-level theory and "boots-on-the-ground" data analysis. It teaches you how to build models that actually replicate in the real world. It bridges the gap between high-level theory and
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.
Extensive use of restricted cubic splines to let the data dictate the shape of relationships.
