TIME RELATED FACTORS IN CANCER EPIDEMIOLOGY

癌症流行病学中的时间相关因素

• 批准号: 6624655
• 负责人: BRYAN M. LANGHOLZ
• 金额: $ 34.13万
• 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 2004-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6624655
• 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.

与我们以前的供资周期一样，我们建议继续开发与癌症流行病学有关的两类统计方法，涉及延长暴露历史和时间改变因素，一个目标涉及病例对照和病例队列研究的设计方面，另一个目标涉及暴露-时间反应关系的分析。这两个大致目标自拨款开始以来一直没有改变。但是，随着时间的推移，我们自然会将注意力缩小到特别富有成果的话题上。抽样队列数据的设计和分析方法：我们在上一个资助周期中的大部分工作致力于为分析广泛类别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研究和病例队列研究的设计和分析方面都产生了一些重要的创新。在这个赠款周期内，我们打算继续我们在这些方法上的工作，并将它们扩展到不匹配的病例对照研究。暴露-时间-反应模型的建模方法：我们一直在开发描述长期时间相关暴露历史的暴露-反应关系的方法，考虑到暴露时年龄和潜伏期等与时间相关的变量的修正效应。在这个赠款周期中，我们打算开发灵活的、描述性的方法来可视化时间修改的效果，并开发方法来测试在潜伏期模型中通常所做的“风险的可加性”假设。