Exclusions help to maintain the integrity of research by filtering out variables that could skew the results. For example, excluding patients with severe comorbidities ensures that the study focuses on the impact of the treatment on cancer itself. Similarly, excluding low-quality data helps in ensuring that the research findings are robust and reliable.
