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Title: Recent development of statistical methods in cancer screening studies Authors:  Yu Shen - UT MD Anderson Cancer Center (United States) [presenting]
Abstract: Statistical modeling is an effective tool to estimate medical costs as well as effectiveness in both cancer screening programs and cancer treatment, which is an important top in health policy and health economics research. Over last decades, many of cancer screening trials have been conducted for breast, lung, colon and prostate. These trials generate data, which may be used to estimate the preclinical sojourn time distribution and screening sensitivity and other quantities of interest from the screening cohort. The information on the natural history of cancer is critical in designing optimal screening programs and assessing screening benefit. We will review some existing statistical approaches in this area and the implications.