Measurement Error, Nutrition, Physical Activity and Cancer

描述（由申请人提供）：该提案反映了我们对开发新的统计方法及其在饮食、体力活动和癌症相关问题中的应用的持续兴趣。这里提到的项目将由专门从事营养、体育活动和统计的国家癌症研究所科学家实施。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结果是，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，除了私家侦探，我们组建了一个团队，该团队拥有与饮食、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，我们将开发用于分析饮食模式的新模型和方法，这是营养学中的一个重要领域。这将包括同时分析许多饮食成分，从短期工具估计不食用某些饮食成分的人数，例如，酒精饮料，并建立新的饮食指数，结合联合收割机遵守饮食指南的权力，以预测癌症和其他健康结果的风险。 在具体目标2中，我们解释说，新技术正在彻底改变饮食摄入量和身体活动的评估，包括基于网络的仪器，越来越多地使用加速计，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 分析和风险，个体内和个体间方差函数估计，具有相互作用的时变日常饮食摄入和体力活动的建模，以及错误分类和测量误差，以及潜在变量模型。 在具体目标3中，我们将开发病例对照研究分析的新方法，包括基因-环境交互作用对风险的分析，有效的次要结局分析中的半参数回归。

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.