BIOMATHEMATICAL APPROACHES TO CANCER

癌症的生物数学方法

• 批准号: 2092678
• 负责人: SURESH H MOOLGAVKAR
• 金额: $ 15.05万
• 依托单位: FRED HUTCHINSON CANCER RESEARCH CENTER
• 依托单位国家: 美国
• 财政年份: 1988
• 资助国家: 美国
• 起止时间: 1988-03-01 至 1996-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/2092678
• 关键词: biological models; carcinogenesis; cell growth regulation; data collection methodology /evaluation; health science research analysis /evaluation; human data; mathematical model; model design /development; neoplasm /cancer epidemiology; preneoplastic state; statistics /biometry

Relative risk regression models are being increasingly use in the analysis of cancer epidemiologic and clinical date. The statistical properties of these models in small to moderate-sized data sets are not well understood. The first part of this grant application will investigate procedures for inference, methods of model criticism and validation, and computational considerations when using general relative risk regression models for analysis of epidemiologic or clinical data. An important feature of this research will be the systematic use of the newly developed tools of differential geometry in statistics. The second part of the grant proposal will address the problem of quantitative cancer risk assessment. A previously developed stochastic two-stage model for carcinogenesis will be extended to allow the incorporation of time- dependent covariates. The properties of this model will be investigated within the context of risk assessment.

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