Nondifferential misclassification.
The misclassification's impact on both cases and controls suggests that it was nondifferential, which weakens the link between A and B.
Non-differential classification error occurs when data is wrong but consistent across groups. When the disease is unconnected to other variables (including exposure) or when exposure is unrelated to other variables (including disease), it occurs. Non-differential misclassification bias typically follows a predictable pattern (it tends to the null value), although this isn't always the case. There may be a bias away from the null when there are three or more exposure groups (levels).
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