The implications of Type I Error in epidemiology are profound. A false positive finding can lead to:
Implementation of ineffective health policies. Unnecessary anxiety and stress among the public. Wastage of resources on further investigations and interventions.
For example, if a study incorrectly identifies a new risk factor for a disease, it could prompt unwarranted warnings and preventive measures.
