Miscan simulation program

All risk factors are modeled as dichotomous characteristics. Tip: Hover your cursor over the dashed attribute links below for more information. View the details of this model in a grid with other colorectal models. Compare models. List models. Grid view. Secular trends in colon and rectal cancer relative survival.

J Natl Cancer Inst. Colorectal Cancer. Disease Control Priorities. Third Edition. Mortality projections for scenarios of risk-factor modification, screening, and treatment , Cancer, Oct. Report to the Agency for Healthcare Research and Quality: a comparison of the cost-effectiveness of fecal occult blood tests with different test characteristics in the context of annual screening in the Medicare population. To simulated CRC incidence and mortality according to observed figures, to estimate the absolute and relative contribution of CRC screening, risk factors and improved therapy on observed cancer incidence and and mortality, to predict how changes in lifestyle, CRC screening and treatment practices will impact on future incidence and mortality.

Iris Lansdorp-Vogelaar i. Screening evaluation , Epidemiological analysis , Policy evaluation , Population trends This is not a primary focus, although the model could be used in this way. Prevention , Screening , Treatment ,. Tumor Growth ,. Micro Simulation ,. Longitudinal , Likelihood optimization , Stochastic process , Time to Event ,. Tumor , Person , Population ,. SEER ,. SEER-Medicare ,. NHIS ,. Other Various published sources were used as calibration points studies on adenoma prevalence and to inform endoscopy miss rates.

The calculations are based on models of the natural history of the disease and of the impact of screening on the natural history. The approach is such that considerable flexibility exists in specifying the structure of the model and its parameters.

The program consists of two parts. The DISEASE part can be used for simulating the epidemiology of the disease when no screening is taking place; it requires input on the population and on the disease process.

It is intended for simulation of the results and effects of a screening project. It requires input on the properties of the screening tests, the consequences of early detection by screening, and the policy ages and intervals between screens of the project.