TIME RELATED FACTORS IN CANCER EPIDEMIOLOGY

癌症流行病学中的时间相关因素

• 批准号: 2442952
• 负责人: BRYAN M. LANGHOLZ
• 金额: $ 26.15万
• 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 1999-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/2442952
• 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：（改编自申请人摘要）：研究者 建议继续发展两类统计方法 与癌症流行病学相关，涉及长期暴露史， 时间修正因素 一个目标涉及抽样的设计方面 另一个涉及分析 时间-响应关系 这两大目标一直保持着 自发放以来一直没有变化。 但是随着时间的推移， 注意力已缩小到特别富有成果的专题。 抽样队列数据的设计和分析方法。 中的大部分工作 上一个赠款周期致力于为以下方面奠定理论基础： 对广泛的嵌套病例对照研究设计进行分析。 这 工作已经导致了一些重要的创新都在设计和 配对和巢式病例对照研究和研究者分析 打算在本赠款周期内继续沿着这些路线。 他们还希望 将理论发展扩展到病例队列设计方法 和无与伦比的病例对照研究。 时间响应建模方法。 方法已被开发用于 描述扩展的时间依赖的确定性-响应关系 暴露历史，考虑到与时间相关的 暴露时的年龄和潜伏期等变量。 在本赠款周期内， 研究人员打算开发描述性的方法， 时间修正效应，开发测试“风险附加性”的方法 假设通常在模型中的延迟，并开发估计 队列和嵌套的时间依赖性暴露的绝对风险 病例对照数据。