Detecting misclassification is challenging but not impossible. Some methods include:
Validation studies: Comparing the study data against a "gold standard" can help identify the extent of misclassification. Sensitivity analysis: Performing analyses under different assumptions about the extent of misclassification can provide insights into its potential impact. Consistency checks: Cross-checking with related data sources or internal consistency checks can help identify discrepancies.