In the field of epidemiology, survivorship bias can occur in several ways. It often arises when studying the outcomes of patients who have survived a disease, without considering those who did not survive. For example, if a study only looks at cancer survivors, it may overlook the factors that contributed to mortality in non-survivors, leading to an incomplete understanding of the disease.