Misclassification can occur due to various reasons, including:
Measurement error: Inaccurate measurement tools or techniques can lead to incorrect classification of variables. Recall bias: Participants may not accurately remember past exposures or events, leading to incorrect reporting. Interviewer bias: Differing ways in which interviewers collect or interpret data can cause inconsistencies. Diagnostic criteria: Inconsistencies or changes in diagnostic criteria over time can result in misclassification. Data entry errors: Mistakes during data entry can misclassify exposure or disease status.
