Statistical Services and Analysis Resource

统计服务和分析资源

• 批准号: 10684794
• 负责人: Chris Gennings
• 金额: $ 67.97万
• 依托单位: ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-30 至 2024-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10684794
• 关键词: Achievement; Adolescence; Affect; Air Pollution; Area; Bioinformatics; Biological Markers; Biometry; Categories; Chemicals; Child; Childhood; Collaborations; Communities; Complex; Computer software; Conceptions; Consultations; Data; Data Set; Development; Dimensions; Disease; Environment; Environmental Exposure; Environmental Health; Environmental Impact; Environmental Pollutants; Environmental Risk Factor; Epidemiology; Exposure to; Faculty; Functional disorder; Goals; Health; Human; Knowledge; Laboratories; Learning; Life; Life Cycle Stages; Life course epidemiology; Longevity; Measures; Mediating; Mediation; Meta-Analysis; Methodology; Methods; Mission; National Institute of Environmental Health Sciences; Outcome; Oxidative Stress; Pathway Analysis; Pattern; Physiology; Quality Control; Reporting; Research; Research Design; Research Personnel; Research Project Grants; Resources; Risk; Risk Factors; Sample Size; Statistical Data Interpretation; Statistical Methods; Statistical Study; Stress; Techniques; Training; Writing; body system; consumer product; critical period; data centers; data resource; early life exposure; experience; exposed human population; falls; health data; innovation; lifestyle factors; method development; multidimensional data; multidisciplinary; novel; nutrition; programs; protocol development; response; simulation; spatiotemporal; statistical service; statistics; webinar

STATISTICAL SERVICES AND ANALYSIS RESOURCE SUMMARY Research in environmental health demonstrates that consequence of environmental exposures during critical periods in development can manifest as disease or dysfunction across the human life span. Indeed, humans are exposed to environmental factors ranging from internal physiology (e.g., oxidative stress) to external chemical (e.g., air pollution, consumer products) and lifestyle factors including exposures to environmental contaminants, poor nutrition, and stress. These factors are multi-dimensional and complex – not simple, single exposures related to a single health outcome. Statistical methods and study designs for analyzing the complex, high-dimensional data that arise in such settings are still relatively new and require knowledge of advanced statistical techniques. The Statistical Services and Analysis Resource (SSAR) consolidates multi-disciplinary expertise (statistics, epidemiology, bioinformatics) in a single faculty made available for collaboration with the broader environmental health research community through the Data Center. The aims of the SSAR are in three primary categories: consultation and analysis support, HHEAR mission-related methods development and implementation of novel methods, and support of collaborative research across the Environmental Health Research consortium. Our specific aims are: 1) provide statistical, epidemiological, and bioinformatics consultation and analysis support to investigators utilizing the HHEAR Laboratory Network resources; 2) catalyze the application of novel statistical, analytical, and bioinformatics methodologies in relevant areas to the HHEAR and the Data Center; 3) catalyze the implementation of these methods in Aim 2 through statistical training for environmental health researchers by creating publicly available statistical software for analysis of the HHEAR data and developing publicly available training/example datasets to be used for didactic learning through webinars related to children's environmental health; and 4) support collaborative research across the HHEAR consortium by conducting initial meta-analyses relating environmental exposures and selected disease conditions within a consortium of relevant experts; and supporting other collaborative research projects that may initiate through the HHEAR consortium of research investigators. The achievement of these aims will advance the goals of the HHEAR Data Center and the larger HHEAR Network to maximize our understanding of the potential impact of environmental exposures on human health by providing rigorous and innovative biostatistical/bioinformatics methods for analyzing environmental health data.

统计服务和分析资源摘要 环境健康研究表明，关键时期环境暴露的后果 在人类一生中，发育期可能表现为疾病或功能障碍。的确，人类 暴露在从内部生理(例如，氧化应激)到外部环境因素的环境中 化学品(例如，空气污染、消费品)和生活方式因素，包括暴露在环境中 污染物、营养不良和压力。这些因素是多层面和复杂的--不是简单的，而是单一的 与单一健康后果有关的暴露。用于分析综合体的统计方法和研究设计， 在这种情况下出现的高维数据仍然是相对较新的数据，需要高级知识 统计技术。统计服务和分析资源(SSAR)整合了多学科 提供单一教职人员的专业知识(统计学、流行病学、生物信息学)，以便与 通过数据中心建立更广泛的环境健康研究社区。香港特别行政区的目标有三个 主要类别：咨询和分析支持、与特派团有关的方法开发和 实施新方法，支持跨环境健康领域的协作研究 研究联盟。我们的具体目标是：1)提供统计、流行病学和生物信息学 利用HHEAR实验室网络资源向调查人员提供咨询和分析支持；2) 促进在相关领域应用新的统计、分析和生物信息学方法 HHEAR和数据中心；3)通过统计推动这些方法在目标2中的实施 通过创建公开可用的统计软件来分析环境健康研究人员 HHEAR数据和开发用于教学的可公开提供的培训/示例数据集 通过与儿童环境健康有关的网络研讨会；以及4)支持跨 HHEAR财团通过进行与环境暴露和选定的 相关专家联盟内的疾病情况；以及支持其他合作研究 可能通过HHEAR研究调查人员联盟发起的项目。这些成就的实现 AIMS将推进HHEAR数据中心和更大的HHEAR网络的目标，以最大限度地提高我们的 了解环境暴露对人类健康的潜在影响，提供严格和 用于分析环境健康数据的创新生物统计/生物信息学方法。