Abstract
Information bias is a systematic error in a study that arises because of incorrect information obtained on one or more variables measured in the study. The focus here is on the consequences of having inaccurate information about exposure and disease variables that are dichotomous, that is, when there is misclassification of exposure and disease that leads to a bias in the resulting measure of effect. We consider exposure and disease variables that are dichotomous. More general situations, such as several categories of exposure or disease, continuous exposure or disease, adjusting for covariates, matched data, and mathematical modeling approaches, are beyond the scope of the activities provided below.
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(2007). Are the Data Correct? Information Bias. In: A Pocket Guide to Epidemiology. Springer, New York, NY. https://doi.org/10.1007/978-0-387-45966-0_9
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DOI: https://doi.org/10.1007/978-0-387-45966-0_9
Publisher Name: Springer, New York, NY
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