Regression Modeling Strategies: With Applicatio... Official

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

It is dense. It assumes a solid foundation in statistics and familiarity with R (specifically the rms package). Regression Modeling Strategies: With Applicatio...

Heavy emphasis on multiple imputation rather than deleting rows. 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.

Provides clear rules of thumb (like the 15-to-1 ratio) for how many variables a dataset can actually support. ⚖️ The Verdict