Categorizing continuous predictors (e.g., splitting age into groups). 🛠️ Key Technical Strengths
by Frank Harrell Jr. is widely considered the "gold standard" for applied statistical modeling. 🧠 The Core Philosophy 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
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.