articleBMJJun 23, 2010Closed access

Random measurement error and regression dilution bias

University of British Columbia · McGill University · +2 more institutions

PubMed
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Abstract

Random measurement error is a pervasive problem in medical research, which can introduce bias to an estimate of the association between a risk factor and a disease or make a true association statistically non-significant. Hutcheon and colleagues explain when, why, and how random measurement error introduces bias and provides strategies for researchers to minimise the problem

Citation impact

757
total citations
FWCI
15.81
Percentile
100%
References
27
Citations per year

Authors

3

Topics & keywords

Keywords
  • Random error
  • Observational error
  • Statistics
  • Association (psychology)
  • Econometrics
  • Regression
  • Computer science
  • Random effects model
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