Random measurement error and regression dilution bias
University of British Columbia · McGill University · +2 more institutions
Indexed incrossrefpubmed
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
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- 100%
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Authors
3Topics & keywords
Topics
Keywords
- Random error
- Observational error
- Statistics
- Association (psychology)
- Econometrics
- Regression
- Computer science
- Random effects model
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