TIME RELATED FACTORS IN CANCER EPIDEMIOLOGY

癌症流行病学中的时间相关因素

• 批准号: 6045945
• 负责人: BRYAN M. LANGHOLZ
• 金额: $ 33.32万
• 依托单位: UNIVERSITY OF SOUTHERN CALIFORNIA
• 依托单位国家: 美国
• 财政年份: 1986
• 资助国家: 美国
• 起止时间: 1986-07-01 至 2003-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6045945
• 关键词: cancer risk; case history; clinical research; data collection methodology /evaluation; environment related neoplasm /cancer; environmental contamination; environmental exposure; human data; mathematical model; model design /development; neoplasm /cancer epidemiology; occupational hazard; statistics /biometry; time resolved data

As in our previous funding cycles, we propose to continue the development of two classes of statistical methods relevant to cancer epidemiology involving extended exposure histories and temporal modifying factors, one aim concerns design aspects of case-control and case-cohort studies and the other concerns the analysis of exposure-time response relationships. These two broad aims have remained unchanged since the beginning of the grant. But, as time has progressed, we have naturally narrowed our attention to particularly fruitful topics. Design and analysis methods for sampled cohort data: Much of our work in the last grant cycle was devoted to building a theoretical foundation for the analysis of a broad class of nested case-control study designs. This work has resulted in some important innovations both in the design and analysis of matched case-control and case-cohort studies. During this grant cycle, we intend to continue our work on these methods as well as extend them to unmatched case-control studies. Methods of exposure-time-response modeling: We have been developing methods for describing exposure-response relationships for extended time-dependent exposure histories, taking into account the modifying effect of time-related variables such as age at exposure and latency. During this grant cycle, we intend to develop flexible, descriptive methods for visualizing time-modifying effects and develop methods to test the "additivity of risk" assumption commonly made in models for latency.

在我们以前的资助周期，我们建议继续发展两类统计方法相关的癌症流行病学，涉及长期暴露史和时间的修改因素，一个目的是关注病例对照和病例队列研究的设计方面，另一个关注的分析时间响应关系。 自资助开始以来，这两个广泛目标一直保持不变。 但是，随着时间的推移，我们自然将注意力集中在特别富有成果的主题上。抽样队列数据的设计和分析方法：我们在上一个资助周期的大部分工作都致力于为分析广泛的嵌套病例对照研究设计建立理论基础。 这项工作在配对病例对照和病例队列研究的设计和分析方面都取得了一些重要的创新。 在这个资助周期中，我们打算继续我们在这些方法上的工作，并将其扩展到无与伦比的病例对照研究。确定-时间-响应建模方法：我们一直在开发用于描述扩展的时间依赖性暴露历史的确定-响应关系的方法，同时考虑到与时间相关的变量（如暴露时的年龄和潜伏期）的修改效果。 在这个资助周期中，我们打算开发灵活的描述性方法来可视化时间修改效应，并开发方法来测试延迟模型中常见的“风险可加性”假设。