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- W2020797008 abstract "Mathematical modeling techniques are now an integral component of researchers' efforts to find better ways to reduce the burden of cancer. Models are useful when investigators attempt to choose among a number of interventions or treatment options. When the direct effect of the intervention on the outcome of interest is unknown but information about intermediate components of the process is available, models are a tool for integrating the available knowledge to estimate the outcome. Mathematical models commonly are used now to assess the relative effectiveness and cost effectiveness of different cancer screening and treatment strategies. The results may be used to guide policy decisions, to inform clinical practice, or even to assist in the design of clinical studies. Models may also be used to understand the reasons underlying population trends in disease prevalence, to highlight areas where more research is needed, and to shed light on disease characteristics. This article reviews the use and basic structure of models and enumerates ways to assess their quality as decision aids. The authors hope to provide an awareness of the scope of the modeling task, an understanding of the potential usefulness of models, and an ability to assess the quality of predictions derived from models." @default.
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- W2020797008 date "2000-08-01" @default.
- W2020797008 modified "2023-10-13" @default.
- W2020797008 title "SIMULATION MODELING OF OUTCOMES AND COST EFFECTIVENESS" @default.
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- W2020797008 doi "https://doi.org/10.1016/s0889-8588(05)70319-1" @default.
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