During data analysis, several techniques help ensure accuracy:
Outlier detection: Identify and investigate outliers to ensure they are not due to data errors. Missing data management: Use appropriate methods to handle missing data, such as imputation or sensitivity analysis. Replication: Replicate studies or analyses to confirm findings and ensure robustness.
