Chronic Disease Population Research Issues and Strategies

慢性病人群研究问题与策略

• 批准号: 8534547
• 负责人: Ross L Prentice
• 金额: $ 17.89万
• 依托单位: FRED HUTCHINSON CANCER RESEARCH CENTER
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/8534547
• 关键词: Alleles; Benefits and Risks; Biological; Biological Markers; Blood Proteins; Characteristics; Chronic Disease; Clinical; Cohort Studies; Computer Simulation; DNA copy number; Data; Data Analyses; Development; Epidemiologic Studies; Epidemiology; Evaluation; Failure; Genomics; Genotype; Grant; Human; Individual; Measurement; Medical; Methodology; Methods; Modeling; Nutrient; Nutritional; Outcome; Pathway Analysis; Patient Self-Report; Persons; Physical activity; Plasma Proteins; Population Attributable Risks; Population Research; Population Sciences; Prevention Research; Preventive Intervention; Procedures; Process; Reporting; Research; Research Personnel; Risk; Scoring Method; Statistical Methods; Statistical Models; Study Subject; Survivors; Systematic Bias; Time; Work; base; cohort; disorder prevention; disorder risk; feeding; flexibility; follow-up; hazard; improved; intervention effect; method development; novel; prospective; randomized trial; screening; therapy development; tumor

This project responds to timely methodology needs and opportunities in chronic disease population science and disease prevention research, as arise in prospective cohort studies and disease prevention randomized trials. The first aim proposes the development of improved failure time data analysis methods, including continuing work on a nonparametric multivariate survivor function estimator having Kaplan-Meier marginals and its regression generalizations; continuing work on the use of positive and negative attributable fractions for disease risk attribution; and the development of mean process modeling procedures with shared parameters across clinical outcomes, for multivariate longitudinal data. A second aim is concerned with covariate measurement error methods development to enhance the reliability of nutritional and physical activity epidemiology research through the use of biomarkers, including nonparametric approaches to hazard ratio association estimation, and methods based on fraction of provided nutrient explained by candidate biomarkers in human feeding study contexts. A third aim will develop marker panel scoring methods to assess treatment benefits versus risks In relation to high-dimensional genomic markers, as a key step toward a treatment choice objective. A final aim responds to opportunities for biological network and preventive intervention development, through methods development for the analysis of allele-specific tumor DNA copy number alterations array data, and through the use of high-dimensional blood protein concentration data for the initial evaluation of candidate disease prevention interventions. The general approach involves the specification of pertinent statistical models and the use of both theoretical probabilistic methods, and computer simulations that are informed by application to data from the substantive research contexts in which the six participating biostatistical investigators are engaged.

该项目响应慢性疾病人群科学的及时方法论和机会 和预防疾病预防研究，前瞻性队列研究和预防疾病预防 试验。第一个目的提出了改善故障时间数据分析方法的发展，包括 继续在具有Kaplan-Meier边缘的非参数多元生存函数估计器上继续进行 及其回归概括；继续使用正面和负面归因分数的工作 疾病风险归因；以及使用共同的平均过程建模程序的开发 跨临床结果的参数，用于多元纵向数据。第二个目标是 协变量测量误差方法开发以增强营养和物理的可靠性 活动流行病学研究通过使用生物标志物，包括非参数危险方法 比率关联估计和基于候选人解释的提供的营养素的部分的方法 人类喂养研究环境中的生物标志物。第三个目标将开发标记面板评分方法 评估治疗益处与高维基因组标记有关的风险，作为关键步骤 朝向治疗选择目标。最终目标对生物网络的机会做出了回应和 预防性干预开发，通过方法开发来分析等位基因特异性肿瘤 DNA拷贝数变化阵列数据，并通过使用高维血蛋白 初步评估候选疾病预防干预措施的浓度数据。将军 方法涉及相关统计模型的规范以及两种理论概率的使用 方法和计算机模拟通过应用于实质研究的数据来告知 参与六个参与的生物统计研究人员的背景。