Cited by 494Statistical Methods in EpidemiologyAdvanced Causal Inference TechniquesMeta-analysis and systematic reviews

THE EFFECT OF MISCLASSIFICATION IN THE PRESENCE OF COVARIATES

GREENLAND, SANDER·1980·American Journal of Epidemiology

Abstract

The effects of misclassification on analyses involving a discrete covariate are examined. The following points are illustrated: 1) Analogous to the 2 X 2 table case, unbiased misclassification of the study exposure leads to reduction in the observed strength of the association of exposure with disease. 2) Both biased and unbiased misclassification will tend to distort the degree of heterogeneity in the measure of association being considered. 3) Misclassification of a confounder leads to a partial loss of ability to control confounding.

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Crossref · 10.1093/oxfordjournals.aje.a113025

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  • When correlated risk factors are measured with different degrees of imprecision, the adjusted relative risk associated with them can be biased towards or away from unity.

    “However, when correlated risk factors are measured with different degrees of imprecision, the adjusted relative risk associated with them can be biased towards or away from unity [ 204 – 206 ].”

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Authors
GREENLAND, S.
Affiliations
University of California, Los Angeles (US)
Corresponding author
GREENLAND, SANDER
Venue
American Journal of Epidemiology
Published
1980-10
Volume
112
Issue
4
Pages
564-569
ISSN
  • 0002-9262 (ISSN-L)
  • 1476-6256
OpenAlex
W2260689400
Cited by
494
References
1
Citations by year
2026: 7 · 2025: 13 · 2024: 15 · 2023: 10 · 2022: 14 · 2021: 18 · 2020: 11 · 2019: 13 · 2018: 19 · 2017: 14 · 2016: 10 · 2015: 11 · 2014: 19 · 2013: 18 · 2012: 21
FWCI
2.60
Type
journal article
Language
en
Open access
closed
Locations
  • American Journal of Epidemiology (publishedVersion)
  • PubMed (publishedVersion)
  • HighWire Press Open Archive (submittedVersion)
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
misclassification, discrete covariates, confounding, exposure misclassification, associative strength, measurement error
MeSH terms
Biometry, Classification, Epidemiologic Methods, Humans

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