Data filtering is essential for maintaining the accuracy and reliability of epidemiological studies. It allows researchers to:
Exclude irrelevant or incomplete data. Focus on specific populations or time periods. Minimize biases and errors in data interpretation. Enhance the clarity and precision of findings.
