🚀 If you want to stop just "running regressions" and start building robust, honest models, this is the most important book you will ever read.
A rigorous focus on bootstrapping for internal validation rather than simple data-splitting. Regression Modeling Strategies: With Applicatio...
Extensive use of restricted cubic splines to let the data dictate the shape of relationships. 🚀 If you want to stop just "running
by Frank Harrell Jr. is widely considered the "gold standard" for applied statistical modeling. 🧠 The Core Philosophy by Frank Harrell Jr
It bridges the gap between high-level theory and "boots-on-the-ground" data analysis. It teaches you how to build models that actually replicate in the real world.
It is dense. It assumes a solid foundation in statistics and familiarity with R (specifically the rms package).
Categorizing continuous predictors (e.g., splitting age into groups). 🛠️ Key Technical Strengths