Regression Modeling Strategies: With Applicatio... ❲RELIABLE - 2024❳

Categorizing continuous predictors (e.g., splitting age into groups). 🛠️ Key Technical Strengths

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. Regression Modeling Strategies: With Applicatio...

It is dense. It assumes a solid foundation in statistics and familiarity with R (specifically the rms package). Categorizing continuous predictors (e

🚀 If you want to stop just "running regressions" and start building robust, honest models, this is the most important book you will ever read. Categorizing continuous predictors (e.g.

Heavy emphasis on multiple imputation rather than deleting rows.