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However, combining central university and MAPAS datasets has reduced the potential for data misclassification by using verified ancestry and increased the admission variables available for analysis [ 49, 50].
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Administrators of immunization registries can aid in assuring and improving data accuracy by adopting strategies to decrease the potential for misclassification, including direct electronic data entry [ 30, 31], electronic data transfer [ 10, 25], double data entry [ 26], and audit procedures [ 16].
We evaluated the potential bias from misclassifying the time of disease onset using administrative hospitalization data, and the potential for exposure misclassification by exploring activity patterns among stroke patients at the time of stroke onset.
Estimation of personal exposure to air pollutants using ambient monitoring data suffers from the potential for exposure misclassification due to intraurban variability in outdoor concentrations of the pollutants (Briggs et al. 2000), as well as the variability in personal behavioral patterns, such as exposure to environmental tobacco smoke (ETS) (Georgiadis et al. 2001).
However, since dietary data is self-reported, there is potential for exposure misclassification that may misestimate wine consumption among adult users.
Use of birth certificate data for ascertaining perinatal exposures reduces the potential for differential misclassification; since all measurement is made prior to diagnosis and measurement does not rely on parental recall of pregnancy history.
While, the material deprivation index has face validity for Calgary, the potential for misclassification of SES and thus misclassification bias cannot be eliminated.
The limitations of this study include a potential for misclassification bias since the data is entirely based on police reports and non-fatal crashes may therefore be underreported.
Retrospective data are often subjected to recall bias and could lead to a potential for exposure misclassification.
Retrospective data are often subjected to recall bias which could lead to a potential for exposure misclassification thus resulting in biased measures of association.
Strict quality control for genotyping was used, minimizing the potential for genotype misclassification.
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