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Regression Modeling Strategies

by Frank E. Harrell Jr. · Springer

Harrell's reference on building regression models that hold up: spline-based nonlinear terms, handling missing data by imputation, bootstrap validation, and calibration. Aimed at analysts who already fit models and need principled strategy for specification and validation.

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Learn some of the main tools used in statistical modeling and data science. We cover both traditional as well as exciting new methods, and how to use them in R. Course material updated in 2021 for second edition of the course textbook.

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