Cited by 540Statistical Methods in EpidemiologyAdvanced Causal Inference TechniquesMeta-analysis and systematic reviews

Ecological Bias, Confounding, and Effect Modification

GREENLAND, SANDER, MORGENSTERN, HAL·1989·International Journal of Epidemiology

Abstract

Ecological bias is sometimes attributed to confounding by the group variable (ie the variable used to define the ecological groups), or to risk factors associated with the group variable. We show that the group variable need not be a confounder (in the strict epidemiological sense) for ecological bias to occur: effect modification can lead to profound ecological bias, whether or not the group variable or the effect modifier are independent risk factors. Furthermore, an extraneous risk factor need not be associated with the study variable at the individual level in order to produce ecological bias. Thus the conditions for the production of ecological bias by a covariate are much broader than the conditions for the production of individual-level confounding by a covariate. We also show that standardization or ecological control of variables responsible for ecological bias are generally insufficient to remove such bias.

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Crossref · 10.1093/ije/18.1.269

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Authors
GREENLAND, S., & MORGENSTERN, H.
Affiliations
University of California, Los Angeles (US)
Venue
International Journal of Epidemiology
Published
1989
Volume
18
Issue
1
Pages
269-274
ISSN
  • 0300-5771 (ISSN-L)
  • 1464-3685
OpenAlex
W2155669879
Cited by
540
References
0
Citations by year
2026: 24 · 2025: 17 · 2024: 12 · 2023: 19 · 2022: 20 · 2021: 27 · 2020: 17 · 2019: 7 · 2018: 13 · 2017: 9 · 2016: 12 · 2015: 16 · 2014: 18 · 2013: 16 · 2012: 16
FWCI
10.60
Type
journal article
Language
en
Open access
closed
Locations
  • International Journal of Epidemiology (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
  • Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
Keywords
ecological bias, confounding, effect modification, risk factors, standardization, ecological control
MeSH terms
Data Interpretation, Statistical, Epidemiologic Methods, Humans, Risk Factors

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