In epidemiology, accurate and unbiased evidence is crucial for understanding the prevalence and incidence of diseases, as well as for informing public health interventions. Publication bias can lead to incorrect conclusions, which in turn might affect policy-making, funding allocations, and clinical practices. Egger's Test helps researchers detect and account for this bias, ensuring more reliable and valid results in meta-analyses.
