Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Confounding in health research.

S Greenland1, H Morgenstern

  • 1Department of Epidemiology, Los Angeles School of Public Health, University of California, Los Angeles, California 90095-1772, USA. HalM@ucla.edu

Annual Review of Public Health
|March 29, 2001
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Clustering of esophageal cancer among white men in the United States.

Diseases of the esophagus : official journal of the International Society for Diseases of the Esophagus·2018
Same author

Shared and Study-specific Dietary Patterns and Head and Neck Cancer Risk in an International Consortium.

Epidemiology (Cambridge, Mass.)·2018
Same author

The role of oral hygiene in head and neck cancer: results from International Head and Neck Cancer Epidemiology (INHANCE) consortium.

Annals of oncology : official journal of the European Society for Medical Oncology·2016
Same author

Vitamin E intake from natural sources and head and neck cancer risk: a pooled analysis in the International Head and Neck Cancer Epidemiology consortium.

British journal of cancer·2015
Same author

Comparison of three methods for measuring psoriasis severity in clinical studies (Part 2 of 2): use of quality of life to assess construct validity of the Lattice System Physician's Global Assessment, Psoriasis Area and Severity Index and Static Physician's Global Assessment.

Journal of the European Academy of Dermatology and Venereology : JEADV·2015
Same author

Nutrient-based dietary patterns and the risk of head and neck cancer: a pooled analysis in the International Head and Neck Cancer Epidemiology consortium.

Annals of oncology : official journal of the European Society for Medical Oncology·2011

Understanding confounding is crucial for causal effect estimation in research. This paper clarifies confounding, distinguishing it from related terms and exploring its control and implications in various study designs.

Area of Science:

  • Epidemiology
  • Biostatistics
  • Causal Inference

Background:

  • Confounding is a critical concept in estimating causal effects.
  • The term 'confounding' is often ambiguously used, leading to confusion with other concepts.
  • A clear understanding is essential for accurate study design and analysis.

Purpose of the Study:

  • To provide a comprehensive overview of confounding and related concepts.
  • To clarify the definition and implications of confounding within a counterfactual framework.
  • To distinguish confounding from confounders and discuss challenges in controlling for it.

Main Methods:

  • Utilized a counterfactual model of causation as the primary framework.
  • Reviewed historical definitions and contemporary uses of the term 'confounding'.

Related Experiment Videos

  • Examined the relationship between confounding, exchangeability, and collapsibility.
  • Main Results:

    • Confounding is identified as a significant source of bias in nonexperimental research.
    • Distinguished between the concepts of confounding and confounders.
    • Highlighted issues in controlling confounding and its role in randomized trials.

    Conclusions:

    • A precise definition of confounding, based on a counterfactual model, is essential for causal inference.
    • Clarifying confounding improves the design, analysis, and interpretation of research.
    • Proper handling of confounding is vital for valid estimation of causal effects.