[Shkarkoni] [Bucher] Regression and Other Stories
By Andrew Gelman
Most textbooks on regression focus on theory and the simplest of examples.
Real statistical problems, however, are complex and subtle. This is not a book
about the theory of regression. It is about using regression to solve real
problems of comparison, estimation, prediction, and causal inference. Unlike
other books, it focuses on practical issues such as sample size and missing data
and a wide range of goals and techniques. It jumps right in to methods and
computer code you can use immediately. Real examples, real stories from the
authors' experience demonstrate what regression can do and its limitations,
with practical advice for understanding assumptions and implementing
methods for experiments and observational studies. They make a smooth
transition to logistic regression and GLM. The emphasis is on computation in R
and Stan rather than derivations, with code available online. Graphics and
presentation aid understanding of the models and model fitting.
