Measurement Error, Nutrition, Physical Activity and Cancer

描述（由申请人提供）：该提案反映了我们对发展新的统计方法的持续兴趣，并将其应用于与饮食，体育活动和癌症相关的问题。这里提到的项目将由NCI专门从事营养、体育活动和统计的科学家进行。私家侦探曾多次访问NCI，包括3次休假，最近一次是在2013-2014年。这些持续关系的一个重要成果是，我们可以访问大量独特的数据集，对这些数据集的分析将指导我们的研究计划。在当地，除了p.i.，我们还组建了一个团队，其中包括与饮食、体育活动和癌症结果相关的各种统计方法方面的专家。在具体目标1中，我们将开发新的模型和方法来分析饮食模式，这是营养学中一个重要的领域。这将包括同时分析许多饮食成分，从短期工具中估计不摄入某些饮食成分（如酒精饮料）的人数，并建立新的饮食指数，将对饮食指南的遵守程度与预测癌症风险和其他健康结果的能力结合起来。在具体目标2中，我们解释说，饮食摄入量和身体活动的评估正在被新技术彻底改变，包括基于网络的仪器、加速计的越来越多的使用、重复饮食评估的长期研究和生物标志物研究。为了利用这些新的数据结构，我们将提出一系列项目，包括身体活动模式

DESCRIPTION (provided by applicant): This proposal reflects our continuing interest in the development of new statistical methods, and their application to problems related to diet, physical activity and cancer. The projects mentioned here will be undertaken with NCI scientists specializing in nutrition, physical activity and statistics. The P.I. has visited the NCI on many occasions, including 3 sabbaticals, the most recent being in 2013-2014. An important outgrowth of these continuing relationships is that we have access to a large number of unique data sets, the analysis of which will guide our research program. Locally, besides the P.I., we have assembled a team that has experts in a wide variety of statistical methodology relevant to diet, physical activity and cancer outcomes. In specific aim 1 we will develop new models and methods for the analysis of dietary patterns, a field of major importance in nutrition. This will include analyzing many dietary components simultaneously, estimating from short term instruments the number of people who do not consume certain dietary components, e.g., alcoholic beverages, and building new dietary indices that combine adherence to dietary guidelines with power to predict the risk of cancer and other health outcomes. In specific aim 2, we explain that the assessment of dietary intakes and physical activity is being revolutionized by new technologies, including web-based instruments, increasing use of accelerometers, longer-term studies with repeated dietary assessment, and biomarker studies. To take advantage of these new data structures, we will propose a series of projects including physical activity pattern analysis and risk, within and between individual variance function esti- mation, modeling of time-varying usual dietary intake and physical activity with interactions, and misclassification and measurement error, and latent variable models. In specific aim 3, we will develop new methods for the analysis of case-control studies, including the analysis of gene-environment interactions on risk, efficient semi parametric regression in the analysis of secondary outcomes.