Display Settings:

Format

Send to:

Choose Destination
See comment in PubMed Commons below
Epidemiology. 1999 Jan;10(1):37-48.

Causal diagrams for epidemiologic research.

Author information

  • 1Department of Epidemiology, UCLA School of Public Health, Los Angeles, CA 90095-1772, USA.

Abstract

Causal diagrams have a long history of informal use and, more recently, have undergone formal development for applications in expert systems and robotics. We provide an introduction to these developments and their use in epidemiologic research. Causal diagrams can provide a starting point for identifying variables that must be measured and controlled to obtain unconfounded effect estimates. They also provide a method for critical evaluation of traditional epidemiologic criteria for confounding. In particular, they reveal certain heretofore unnoticed shortcomings of those criteria when used in considering multiple potential confounders. We show how to modify the traditional criteria to correct those shortcomings.

PMID:
9888278
[PubMed - indexed for MEDLINE]
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Icon for Lippincott Williams & Wilkins
    Loading ...
    Write to the Help Desk