Reducing bias is essential for several reasons: - Validity: It enhances the internal validity of a study, ensuring that the results are accurate. - Generalizability: It improves the external validity, making the findings more applicable to the general population. - Policy Making: Reliable data are crucial for forming effective public health policies and interventions.
