Chronic Disease Population Research Issues and Strategies

慢性病人群研究问题与策略

• 批准号: 7153262
• 负责人: Ross L Prentice
• 金额: $ 10.64万
• 依托单位: FRED HUTCHINSON CANCER RESEARCH CENTER
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-07-01 至 2011-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7153262
• 关键词: biomarker; cancer prevention; chronic disease /disorder; data collection methodology /evaluation; data quality /integrity; experimental designs; human data; human population study; method development; neoplasm /cancer epidemiology; neoplasm /cancer genetics; nutrition aspect of cancer; nutrition related tag; single nucleotide polymorphism; statistics /biometry

This project will address methodology development needs that arise in disease prevention trials and epidemiologic cohort studies. Our continuing work on failure time data methods will include sub-aims on multivariate survivor function estimation, on cohort and case-control estimation under a semiparametric normal transformation model, on attributable risk estimation for a preventive intervention, and on case-only estimation methods in a randomized controlled trial context. Our continuing work, motivated by dietary and physical activity epidemiology, on covariate measurement error methods will develop and compare estimation procedures based on biomarker data on subsets of a cohort, and self-report data on the entire cohort. Both recovery-type biomarkers, corresponding to the expenditure of a nutrient, and concentrationtype biomarkers, reflecting the concentration of a nutrient blood or another body compartment, will be considered. Our work on population science research issues and strategies will continue to contrast randomized controlled trial and observational study data, toward identifying sources of bias, with emphasis on both postmenopausal hormone therapy and dietary intervention, and with motivation and data derived from the Women's Health Initiative (WHI) clinical trial and cohort study. Efforts to elucidate postmenopausal hormone therapy effects in the WHI have led to a number of case-control studies using the WHI specimen repository, including genome-wide single nucleotide polymorphism (SNP) association studies of diseases that were adversely affected by estrogen plus progestin use. Aspects of the design and analysis of highdimensional SNP association studies is an additional Project 1 research aim. These aims will be addressed by using statistical models for disease risk, non-standard exposure measurement models, standard genetic models, asymptotic distribution theory development, computer simulations, and applications to important chronic disease data sets.

该项目将解决预防疾病试验中产生的方法论发展需求， 流行病学队列研究。我们对失败时间数据方法的持续工作将包括子iams 在半参数下进行的多元幸存者功能估计，对队列和病例对照估计 正常转换模型，预防性干预的归因风险估计以及仅病例的风险估计 随机对照试验环境中的估计方法。我们的持续工作是由饮食和 体育活动流行病学，关于协变量测量误差方法将开发和比较 基于同类子集的生物标志物数据的估计程序，以及整个人数的自我报告数据 队列。恢复型生物标志物，对应于营养素的支出和浓度类型 反映营养血液或其他身体室的浓度的生物标志物将是 经过考虑的。我们在人口科学研究问题和策略方面的工作将继续对比 随机对照试验和观察性研究数据，以识别偏见的来源，重点 在绝经后激素疗法和饮食干预措施以及动机和数据 根据《妇女健康计划》（WHI）临床试验和队列研究。阐明绝经后的努力 WHI中的激素治疗作用导致了使用WHI标本进行了许多病例对照研究 存储库，包括全基因组单核苷酸多态性（SNP）疾病研究 受雌激素加孕激素使用的不利影响。高度设计和分析的各个方面 SNP协会研究是另一项项目1研究目标。这些目标将被解决 通过使用疾病风险的统计模型，非标准暴露测量模型，标准遗传 模型，渐近分布理论开发，计算机模拟以及对重要的应用 慢性疾病数据集。