I’m getting ready to start another predictive modeling effort and decided to turn to several trusted stats books for a quick review. Three favorites include Maindonald and Braun’s Data Analysis and Graphics Using R, The Elements of Statistical Learning, by Hastie, Tibshirani and Friedman, and Frank Harrell’s Regression Modeling Strategies. The books provide a nice balance of theory and practice, statistical inference and statistical learning.

I didn’t even get past the Preface to RMS before I started taking notes on important considerations for planning my new prediction studies. Indeed, I found the emphases spot on, even though I’m not certain whether I’ll use the regression models that Frank espouses or the statistical learning models of ESL.

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