Systematic error, also known as bias, refers to consistent, repeatable errors that occur in the design or conduct of an epidemiological study, leading to inaccurate results. Unlike random error, which can be reduced by increasing sample size, systematic errors are inherent to the study design and must be identified and corrected through meticulous planning and analysis.
