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Exact(7)
The misclassification was differential in respect to the women's later disease status.
This may have produced misclassification of the outcome, though it is not clear whether this misclassification was differential by exposure status (eg, income changes).
We have shown elsewhere [ 15] that for near highway residents misclassification was differential for time spent away from home, which could reduce exposure.
Misclassification was differential in our data set, as those closest to the highway had the greatest classification error, attributable in part to street network geocoding [ 15].
However, our approach to misclassification adjustment for the Montreal data may have introduced bias if misclassification was differential between surgeons and gastroenterologists.
If this misclassification was undifferential, this would dilute observation of associations and dose – response relationships, whereas if this misclassification was differential, it would exaggerate or decrease observation of associations.
Similar(53)
While misclassification is a concern, no studies have indicated that this misclassification is differential over time [ 32].
If misclassification is differential, there is still likely to be bias, but it could go in either direction.
We were also interested in examining whether this misclassification is differential with regard to health care utilization.
However, we have no reason to believe that any of these potential sources of misclassification were differential in nature.
Small inaccuracies in attributing cause of death can have the potential to alter the results if misclassification is differential between study arms.
More suggestions(11)
misclassification were differential
misclassification was similar
misclassification was unlikely
misclassification was low
misclassification was due
misclassification was random
misclassification was unrelated
misclassification was small
misclassification was common
misclassification was possible
misclassification was nondifferential
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