Systematic error, also known as bias, refers to consistent, repeatable errors that arise from flaws in the measurement system, study design, or data collection processes. In the context of cancer research, systematic errors can significantly impact the validity and reliability of study outcomes, leading to incorrect conclusions and potentially harmful recommendations.