Why is Trim and Fill Analysis Important in Epidemiology?
In epidemiology, accurate data interpretation is critical for understanding the relationship between risk factors and health outcomes. Publication bias can distort the findings of meta-analyses, leading to erroneous conclusions. Trim and fill analysis provides a more accurate estimation by considering the potential impact of unpublished studies.
