TIME RELATED FACTORS IN CANCER EPIDEMIOLOGY

癌症流行病学中的时间相关因素

• 批准号: 2732981
• 负责人: BRYAN M. LANGHOLZ
• 金额: $ 25.56万
• 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 1999-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/2732981
• 关键词: cancer risk; case history; clinical research; environmental contamination; human data; mathematical model; method development; model design /development; neoplasm /cancer epidemiology; occupational hazard; statistics /biometry

DESCRIPTION : (Adapted from the Applicant's Abstract): The investigators 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 sampling within a cohort 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, attention has been narrowed to particularly fruitful topics. Design and analysis methods for sampled cohort data. Much of the work in the last grant cycle was devoted to building a theoretical foundation for the analysis of a broad class of nested case-control studies designs. This work has resulted in some important innovations both in the design and analysis of matched and nested case-control studies and the investigators intend to continue along these lines in this grant cycle. They further wish to expand the theoretical developments to methods for case-cohort designs and unmatched case-control studies. Methods of exposure-time-response modeling. Methods have been developed 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 the investigators intend to develop descriptive methods for visualizing time-modifying effects, develop methods to test the "additvity of risk" assumption commonly made in models for latency, and develop estimators of absolute risk for time-dependent exposures for cohort and nested case-control data.

描述：（改编自申请人的摘要）：研究人员 建议继续开发两类统计方法 与涉及长期暴露史的癌症流行病学相关，以及 时间改变因素。 一个目标涉及抽样的设计方面 在一个队列中，另一个涉及对 曝光-时间-响应关系。 这两个广泛的目标仍然存在 自拨款开始以来未发生变化。 但是，随着时间的推移， 注意力已集中在特别富有成效的主题上。 队列样本数据的设计和分析方法。 大部分工作在 上一个资助周期致力于建立理论基础 对一大类嵌套病例对照研究设计的分析。 这 工作在设计和技术方面产生了一些重要的创新 匹配和巢式病例对照研究和研究者的分析 打算在本拨款周期中继续遵循这些方针。 他们还希望 将理论发展扩展到案例队列设计方法 以及无与伦比的病例对照研究。 暴露-时间-响应建模方法。 已开发出方法用于 描述延长时间依赖性的暴露-反应关系 暴露历史，考虑到与时间相关的修改效应 变量，例如暴露年龄和潜伏期。 在此拨款周期内 研究人员打算开发可视化的描述方法 时间修改效应，开发测试“风险可加性”的方法 延迟模型中常见的假设，并开发估计器 队列和嵌套的时间依赖性暴露的绝对风险 病例对照数据。