What Are the Best Practices for Managing Missing Data?
Adhering to best practices can mitigate the impact of missing data:
Transparent Reporting: Clearly report the extent and handling of missing data in research publications. Use of Sensitivity Analysis: Conduct sensitivity analyses to understand the impact of missing data on study results. Collaborative Efforts: Engage multidisciplinary teams, including statisticians, clinicians, and data scientists, to address missing data effectively.
