Statistical Services and Methods Development Resource

统计服务和方法开发资源

• 批准号: 9062053
• 负责人: Chris Gennings
• 金额: $ 318.28万
• 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 2019-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9062053
• 关键词: Accounting; Achievement; Address; Adolescence; Area; Bioinformatics; Biological Markers; Categories; Characteristics; Child; Child health care; Collaborations; Communities; Complex; Computer software; Conceptions; Data; Data Set; Development; Disease; Environment; Environmental Exposure; Environmental Health; Environmental Pollution; Environmental Risk Factor; Epidemiologic Studies; Epidemiology; Epigenetic Process; Equation; Exposure to; Faculty; Functional disorder; Funding; Goals; Growth; Health; Human; Imagery; Knowledge; Language; Learning; Life Cycle Stages; Longevity; Machine Learning; Mediating; Mediation; Meta-Analysis; Methods; Modeling; Outcome; Pattern; Productivity; Quality Control; Reporting; Research; Research Design; Research Personnel; Research Project Grants; Resources; Risk Factors; Sample Size; Science; Scientific Advances and Accomplishments; Services; Statistical Methods; Statistical Study; Stress; Sum; System; Techniques; Training; Training and Education; Weight; Writing; base; body system; cohort; critical period; design; health data; innovation; method development; model building; novel; nutrition; protocol development; repository; simulation; statistical service; statistics

PROJECT SUMMARY Research in children's environmental health demonstrates that consequence of environmental exposures during critical periods in development can manifest as disease or dysfunction across the human life span. Children are one of the most vulnerable subpopulations for increased adverse health risks from factors including exposures to environmental contaminants, poor nutrition, and stress because their major organ systems are developing from conception through adolescence. 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 Methods Development Resource (SSMDR) consolidates multi-disciplinary expertise (statistics, epidemiology, bioinformatics) in a single faculty made available for collaboration with the broader children's environmental health research community through the Data Center. The aims of the SSMDC are in four primary categories: service, collaborative research across the Children's Environmental Health Research consortium, methods development, and education/training on biostatistical techniques relevant to the Children's Health Exposure Analysis Resource (CHEAR) Data Center. Our specific aims are: 1) provide an integrated approach for statistical, epidemiological, and bioinformatics service to investigators collaborating with the Data Center; 2) support collaborative research across the Children's Environmental Health Research consortium; 3) conduct novel and innovative biostatistical and bioinformatic methods development in relevant areas to the CHEAR and the Data Center; and 4) provide statistical training for children's environmental health researchers by creating publicly available statistical software for analysis of the CHEAR data and developing publicly utilizable training/example datasets to be used for didactic learning through webinars related to children's environmental health. The achievement of these aims will advance the goals of the CHEAR Data Center and the larger CHEAR Network to maximize our understanding of the potential impact of environmental exposures on children's health by providing rigorous and innovative biostatistical/bioinformatics methods for analyzing children's environmental health data.

项目摘要 对儿童环境健康的研究表明， 在发展的关键时期，在人的一生中可能表现为疾病或功能障碍。 儿童是最易受各种因素不利健康风险增加影响的亚群体之一， 包括暴露于环境污染物、营养不良和压力，因为他们的主要器官 系统从概念到青春期都在发展。这些因素是多方面的， 复杂的-不是简单的，与单一健康结果有关的单一接触。统计方法和研究 用于分析在这样的环境中出现的复杂、高维数据的设计仍然是相对较新的， 需要掌握先进的统计技术。统计服务与方法发展 资源（SSMDR）将多学科专业知识（统计学，流行病学，生物信息学）整合在一个 单一的教师提供与更广泛的儿童环境健康研究合作 社区通过数据中心。SSMDC的目标分为四个主要类别：服务， 儿童环境健康研究联盟的合作研究，方法 与儿童健康暴露相关的生物统计技术的发展和教育/培训 分析资源（CHEARS）数据中心。我们的具体目标是：1）提供一个综合的方法， 为与数据中心合作的研究人员提供统计、流行病学和生物信息学服务; 2） 支持儿童环境健康研究联盟的合作研究; 3）开展 在与CHEMICAL相关的领域开发新颖和创新的生物统计学和生物信息学方法， 数据中心;以及4）通过创建儿童环境健康研究人员提供统计培训 公开提供的统计软件，用于分析CHEMICAL数据，并开发可供公众使用的 通过与儿童环境有关的网络研讨会， 健康这些目标的实现将推动CHEMICAL数据中心和更大的 CHEAR网络旨在最大限度地了解环境暴露对人类的潜在影响 通过提供严格和创新的生物统计/生物信息学方法， 儿童环境健康数据。