Skip to main content Accessibility help
Internet Explorer 11 is being discontinued by Microsoft in August 2021. If you have difficulties viewing the site on Internet Explorer 11 we recommend using a different browser such as Microsoft Edge, Google Chrome, Apple Safari or Mozilla Firefox.
Home
> Regression and Other Stories

Regression and Other Stories

Authors

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

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…

  • Add bookmark
  • Cite
  • Share

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

About the book

Access options

Check your access to the full version of this content by using one of the options below.

  • Institutional login

    Log in with Open Athens, Shibboleth, or your institutional credentials

    Log in
  • Personal login

    If you have previously obtained access using your personal account

    Log in
  • Already purchased an access code?

    You must be logged into your account in order to be able to activate an access code.

    Log in

If you believe you should have access to this content, please contact your institutional librarian or consult our FAQ page for further information about accessing our content.

Also available to purchase from these educational ebook suppliers

Related content

Powered by UNSILO

US