Measurement bias can lead to erroneous results by either exaggerating or underestimating the association between exposure and outcome. For example, if there is differential misclassification, the association can be either overestimated or underestimated, depending on whether the misclassification is more prevalent in one group than the other. Non-differential misclassification usually biases the results towards the null, making it harder to detect a true association.
