Chronic Disease Population Research Issues and Strategies

该项目将解决疾病预防试验中出现的方法学开发需求 流行病学队列研究。我们在故障时间数据方法方面的持续工作将包括以下子目标 多维生存函数估计，半参数条件下的队列和病例对照估计 正态转换模型、预防性干预的归因风险估计和仅病例分析 随机对照试验背景下的估计方法。我们持续的工作，出于饮食和 体力活动流行病学，关于协变量测量误差的方法将发展和比较 基于队列子集的生物标记物数据和整个队列的自我报告数据的评估程序 一群人。与养分消耗相对应的恢复型生物标志物和浓缩型生物标志物 生物标志物，反映营养血液或其他身体隔间的浓度，将是 考虑过了。我们在人口科学研究问题和战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，以确定偏倚来源，重点 关于绝经后激素治疗和饮食干预，并得出动机和数据 来自妇女健康倡议(WHI)的临床试验和队列研究。努力阐明绝经后 WHI中的激素治疗效应导致了使用WHI标本的一些病例对照研究 资料库，包括疾病的全基因组单核苷酸多态(SNP)关联研究 因使用雌激素和孕激素而受到不利影响的人。高维设计与分析的几个方面 SNP关联研究是项目1的额外研究目标。这些目标将得到解决 通过使用疾病风险统计模型、非标准暴露测量模型、标准基因 模型、渐近分布理论的发展、计算机模拟以及在重要领域的应用 慢性病数据集。

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.