Skip to main content
Top
Published in: European Journal of Epidemiology 5/2009

01-05-2009 | Commentary

Mediation and mechanism

Author: Tyler J. VanderWeele

Published in: European Journal of Epidemiology | Issue 5/2009

Login to get access

Abstract

The concepts of mediation and mechanism are contrasted and logical implications holding between theses two concepts are described. The concept of mediation can be formalized using counterfactual definitions of indirect effects; the concept of mechanism can be formalized within the sufficient cause framework. It is shown that both concepts can be illustrated using a single causal diagram. It is also shown that mediation implies mechanism but mechanism need not imply mediation. Discussion is given regarding how the distinction between “statistical causality” and “mechanistic causality” is blurred by recent work in causal inference concerning methods for testing for mediation and mechanism.
Appendix
Available only for authorised users
Literature
2.
go back to reference Judd CM, Kenny DA. Estimating mediation in treatment evaluations. Process Anal. 1981;5:602–19. Judd CM, Kenny DA. Estimating mediation in treatment evaluations. Process Anal. 1981;5:602–19.
4.
go back to reference Bollen KA. Total, direct and indirect effects in structural equation models. In: Clogg CC, editor. Sociological methodology. Washington, DC: American Sociological Association; 1987. p. 37–69. Bollen KA. Total, direct and indirect effects in structural equation models. In: Clogg CC, editor. Sociological methodology. Washington, DC: American Sociological Association; 1987. p. 37–69.
5.
go back to reference Holland PW. Causal inference, path analysis, and recursive structural equations models. In: Clogg CC, editor. Sociological methodology. Washington, DC: American Sociological Association; 1988. p. 449–84. Holland PW. Causal inference, path analysis, and recursive structural equations models. In: Clogg CC, editor. Sociological methodology. Washington, DC: American Sociological Association; 1988. p. 449–84.
8.
go back to reference Pearl J. Direct and indirect effects. In: Proceedings of the seventeenth conference on uncertainty and artificial intelligence. San Francisco: Morgan Kaufmann; 2001:411-420. Pearl J. Direct and indirect effects. In: Proceedings of the seventeenth conference on uncertainty and artificial intelligence. San Francisco: Morgan Kaufmann; 2001:411-420.
18.
go back to reference Cayley A. On a question in the theory of probabilities. Philos Mag. 1853;6:259. Cayley A. On a question in the theory of probabilities. Philos Mag. 1853;6:259.
19.
go back to reference Mackie JL. Causes and conditions. Am Philos Q. 1965;2:245–55. Mackie JL. Causes and conditions. Am Philos Q. 1965;2:245–55.
20.
go back to reference MacMahon B, Pugh TF. Causes and entities of disease. In: Clark DW, MacMahon B, editors. Preventive medicine. Boston: Little, Brown, and Company; 1967. p. 11–8. MacMahon B, Pugh TF. Causes and entities of disease. In: Clark DW, MacMahon B, editors. Preventive medicine. Boston: Little, Brown, and Company; 1967. p. 11–8.
22.
go back to reference VanderWeele TJ, Robins JM. Minimal sufficient causation and directed acyclic graphs. Ann Stat. 2009. (in press). VanderWeele TJ, Robins JM. Minimal sufficient causation and directed acyclic graphs. Ann Stat. 2009. (in press).
23.
go back to reference Hall N, Paul LA. Causation and preemption. In: Clark P, Hawley K, editors. Philosophy of science today. Oxford: Oxford University Press; 2003. p. 100–29. Hall N, Paul LA. Causation and preemption. In: Clark P, Hawley K, editors. Philosophy of science today. Oxford: Oxford University Press; 2003. p. 100–29.
24.
go back to reference Greenland S, Robins JM. Conceptual problems in the definition and interpretation of attributable fractions. Am J Epidemiol. 1988;128:1185–97.PubMed Greenland S, Robins JM. Conceptual problems in the definition and interpretation of attributable fractions. Am J Epidemiol. 1988;128:1185–97.PubMed
33.
go back to reference Glymour MM, Greenland S. Causal diagrams. In: Rothman KJ, Greenland S, Lash TL, editors. Modern epidemiology. 3rd ed. Philadelphia: Lippincott Williams and Wilkins; 2008. p. 183–209. Glymour MM, Greenland S. Causal diagrams. In: Rothman KJ, Greenland S, Lash TL, editors. Modern epidemiology. 3rd ed. Philadelphia: Lippincott Williams and Wilkins; 2008. p. 183–209.
34.
go back to reference Robins JM. Testing and estimation of direct effects by reparameterizing directed acyclic graphs with structural nested models. In: Glymour C, Cooper GF, editors. Computation, causation, and discovery. Menlo Park, CA, Cambridge, MA: AAAI Press/The MIT Press; 1999. p. 349–405. Robins JM. Testing and estimation of direct effects by reparameterizing directed acyclic graphs with structural nested models. In: Glymour C, Cooper GF, editors. Computation, causation, and discovery. Menlo Park, CA, Cambridge, MA: AAAI Press/The MIT Press; 1999. p. 349–405.
35.
go back to reference Robins JM. Semantics of causal DAG models and the identification of direct and indirect effects. In: Green P, Hjort NL, Richardson S, editors. Highly structured stochastic systems. New York: Oxford University Press; 2003. p. 70–81. Robins JM. Semantics of causal DAG models and the identification of direct and indirect effects. In: Green P, Hjort NL, Richardson S, editors. Highly structured stochastic systems. New York: Oxford University Press; 2003. p. 70–81.
38.
go back to reference Cox DR, Wenmuth N. Causality: a statistical view. Int Stat Rev. 2004;72:285–305. Cox DR, Wenmuth N. Causality: a statistical view. Int Stat Rev. 2004;72:285–305.
Metadata
Title
Mediation and mechanism
Author
Tyler J. VanderWeele
Publication date
01-05-2009
Publisher
Springer Netherlands
Published in
European Journal of Epidemiology / Issue 5/2009
Print ISSN: 0393-2990
Electronic ISSN: 1573-7284
DOI
https://doi.org/10.1007/s10654-009-9331-1

Other articles of this Issue 5/2009

European Journal of Epidemiology 5/2009 Go to the issue