Unpacking English, Bit by Bit
A community for questioning, nitpicking, and debating the quirks and rules of the English language.
Unpacking English, Bit by Bit
A community for questioning, nitpicking, and debating the quirks and rules of the English language.
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...
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
Extensive use of restricted cubic splines to let the data dictate the shape of relationships. Categorizing continuous predictors (e.g.
A rigorous focus on bootstrapping for internal validation rather than simple data-splitting.
Heavy emphasis on multiple imputation rather than deleting rows.
