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Categorizing continuous predictors (e.g., splitting age into groups). 🛠️ Key Technical Strengths
Heavy emphasis on multiple imputation rather than deleting rows. Regression Modeling Strategies: With Applicatio...
A rigorous focus on bootstrapping for internal validation rather than simple data-splitting. Categorizing continuous predictors (e
It is dense. It assumes a solid foundation in statistics and familiarity with R (specifically the rms package). 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