How can we ensure the quality of data in epidemiological studies?
Ensuring data quality involves several steps:
Data cleaning: Identifying and correcting errors or inconsistencies in the data. Data validation: Verifying the accuracy and completeness of data entries. Data documentation: Maintaining detailed records of data collection methods and procedures. Quality control checks: Implementing regular checks to monitor and maintain data quality.
