Analytic Support for NHANES Allergen Component (NHANES)

承包商将为统计分析的设计和实施提供分析支持和专业知识，并编写分析疾病发展中环境因素（如过敏原）关系的手稿。 NIEHS投资于2005-2006年NHANES的扩大数据收集，包括扩大样本量，自我报告的暴露问题，过敏原敏感性的临床测试，IgE测量，灰尘，食物和环境过敏原的暴露测试。这些具有全国代表性的数据可以独特地解决关于过敏原、暴露、敏感性和临床结果之间关系的突出临床问题。需要准备一个用户友好的标准分析数据文件，并执行一个分析计划，充分挖掘这些数据的丰富性。该战略计划下的统计和分析支持将产生对NHANES 2005-2006数据的分析，从而更好地理解过敏原和内毒素暴露、过敏性致敏和疾病之间的复杂关系，这些知识最终将导致预防和治疗哮喘和其他过敏性疾病的有效策略。 这项任务的总体目的是加快对NIEHS/NHANES过敏原数据的分析，并尽快产生开创性的出版物。分析的准备和支持涉及几个不同但相关的活动：a）举行NIEHS/NHANES数据早期用户（分析小组）的协调会议，B）介绍和分析NHANES数据的初步摘要，c）准备一个模拟数据集，d）评估NIEHS/NHANES数据以供批准公开发布，以及e）准备一个分析数据集。为了完成活动e），研究人员必须就适当的派生变量达成共识，包括确定连续变量的截止值，并将原始测量值组合成复合结果测量值。任务1需要协调来自多个机构的合作研究人员之间独特的复杂活动，并支持他们的不同分析需求。需要一个高级项目经理来监督这项工作。

The contractor will provide analytic support and expertise for the design and implementation of statistical analyses and the development of manuscripts that analyze the relation of environmental agents (such as allergens) in the development of disease. NIEHS has invested in augmented data collection for the 2005-2006 NHANES to include enhanced sample size, self-reported exposure questions, clinical testing for allergen sensitivity, IgE measurement, testing for exposures in dust, food and environmental allergens. These nationally representative data can uniquely address outstanding clinical questions about the relationship between allergen, exposure, sensitivity and clinical outcomes. The need is to prepare a user-friendly, standard analytic data file and execute an analysis plan that fully mines the richness of these data. Statistical and analytic support under this SP will produce analysis of NHANES 2005-2006 data leading to a better understanding of the complex relationships between allergen and endotoxin exposures, allergic sensitization, and disease, and this knowledge will eventually lead to effective strategies for the prevention and treatment of asthma and other allergic diseases. The overall purpose of this task is to expedite analyses of the NIEHS/NHANES allergen data and produce seminal publications as quickly as possible. Preparation and support for analyses involves several distinct but related activities: a) conduct coordinative meetings of early users (analytic team) of the NIEHS/NHANES data, b) presentation and analyses of preliminary summary NHANES data, c) prepare a mock data set, d) evaluate NIEHS/NHANES data for approval for public release, and e) prepare an analytic data set. In order to accomplish activity e), it will be necessary to achieve consensus among the researchers on appropriate derived variables, including establishing cut-off values for continuous variables and defining combinations of raw measurements into composite outcomes measures. Task 1 requires coordination of a uniquely complex set of activities among collaborating researchers from multiple institutions and support for their diverse analytic needs. An advanced senior level program manager is needed to oversee this effort.