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"Subjective bias due to racial discrimination in the clinical skills assessment" was offered as the explanation.
This significant limitation can result in experimental bias due to phenotypic variation.
The extent of bias due to measurement error in these reported results is unclear.
J.M. Neuhaus and N. P. Jewell, "A geometric approach to assess bias due to omitted covariates in generalized linear models".
However, estimation based on read coverage along the genome suffers from bias due to GC content and other factors.
We avoid any bias due to data collection and/or sample design by using this approach.
However, selection bias due to improper case sampling is less well recognized.
Diagnostic codes used in administrative databases cause bias due to misclassification of patient disease status.
The multiple imputation technique was used in this analysis to avoid bias due to missing data.
They're also prone to bias due to the environment, participant selection and researcher.
LIMITATIONS: There is a risk of measurement bias due to the use of an unvalidated instrument.
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