Survivorship bias can skew the results of an epidemiological study and lead to incorrect inferences. This bias can result in overestimating the effectiveness of a treatment or underestimating the severity of a disease. By only considering survivors, researchers may miss critical information about risk factors, comorbidities, and other variables that play a crucial role in disease outcomes.
