Skip to main content

Regression, Causation and Prediction

  • Chapter
Causation, Prediction, and Search

Part of the book series: Lecture Notes in Statistics ((LNS,volume 81))


Regression is a special case, not a special subject. The problems of causal inference in regression studies are instances of the problems we have considered in the previous chapters, and the solutions are to be found there as well. What is singular about regression is only that a technique so ill suited to causal inference should have found such wide employment to that purpose.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

USD 9.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 139.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Author information

Authors and Affiliations


Rights and permissions

Reprints and permissions

Copyright information

© 1993 Springer-Verlag New York, Inc.

About this chapter

Cite this chapter

Spirtes, P., Glymour, C., Scheines, R. (1993). Regression, Causation and Prediction. In: Causation, Prediction, and Search. Lecture Notes in Statistics, vol 81. Springer, New York, NY.

Download citation

  • DOI:

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4612-7650-0

  • Online ISBN: 978-1-4612-2748-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics