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Regression and Other Stories

Authors

Andrew Gelman
, Columbia University, New York,
Jennifer Hill
, New York University,
Aki Vehtari
, Aalto University, Finland
Published 2020

Description

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…

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Additional help with this eTextbook

Teaching regression? Check out the instructors' companion book Active Statistics for more Stories, Games, Problems, and Hands-on Demonstrations for Applied Regression and Causal Inference.

Key features

  • Emphasis on practice rather than theory sets this apart from other texts
  • Three chapters on causal inference
  • Code and data for all examples in the book are available on the web site in the popular open-source programs R and Stan

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