Translator Disclaimer
dec 2004 Causality: a Statistical View
D.R. Cox, Nanny Wermuth
Internat. Statist. Rev. 72(3): 285-305 (dec 2004).

Abstract

Statistical aspects of causality are reviewed in simple form and the impact of recent work discussed. Three distinct notions of causality are set out and implications for densities and for linear dependencies explained. The importance of appreciating the possibility of effect modifiers is stressed, be they intermediate variables, background variables or unobserved confounders. In many contexts the issue of unobserved confounders is salient. The difficulties of interpretation when there are joint effects are discussed and possible modifications of analysis explained. The dangers of uncritical conditioning and marginalization over intermediate response variables are set out and some of the problems of generalizing conclusions to populations and individuals explained. In general terms the importance of search for possibly causal variables is stressed but the need for caution is emphasized.

Citation

Download Citation

D.R. Cox. Nanny Wermuth. "Causality: a Statistical View." Internat. Statist. Rev. 72 (3) 285 - 305, dec 2004.

Information

Published: dec 2004
First available in Project Euclid: 8 December 2004

MathSciNet: MR2090633

Rights: Copyright © 2004 International Statistical Institute

JOURNAL ARTICLE
21 PAGES

This article is only available to subscribers.
It is not available for individual sale.
+ SAVE TO MY LIBRARY

SHARE
Vol.72 • No. 3 • dec 2004
Back to Top