Project 2: Analyzing Patterns In Epidemiologic and Toxicologic Data

项目 2：分析流行病学和毒理学数据的模式

• 批准号: 8723399
• 负责人: Veronica M Vieira
• 金额: $ 0.78万
• 依托单位: BOSTON UNIVERSITY MEDICAL CAMPUS
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/8723399
• 关键词: Academia; Accounting; Address; Area; Attention deficit hyperactivity disorder; Behavior; Birth; Case-Control Studies; Chemicals; Child; Code; Cohort Studies; Collaborations; Community Practice; Computer software; Congenital Abnormality; Data; Data Set; Development; Disease; Environmental Epidemiology; Environmental Hazards; Epidemiologic Studies; Epidemiologist; Epidemiology; Evaluation; Exposure to; Government; Hazardous Substances; Hazardous Waste; Health; Hot Spot; Human; Individual; Instruction; Investigation; Knowledge; Life; Maps; Massachusetts; Metals; Methods; Modeling; Mothers; Outcome; Pattern; Performance; Polychlorinated Biphenyls; Population; Population Density; Psychological Techniques; Research; Rhode Island; Risk; Risk Assessment; Risk Factors; Running; Sampling; Signal Recognition Particle; Software Tools; Source Code; Statistical Models; Tetrachloroethylene; Time; Toxic effect; Toxicology; Translational Research; Trihalomethanes; Weight; Work; Writing; base; biological systems; cohort; community organizations; epidemiologic data; interest; mathematical model; novel; novel strategies; open source; receptor; reproductive; superfund chemical; superfund site; tool; trend; user friendly software

Project 2 evaluates advanced methods for analyzing patterns in epidemiologic and toxicologic data involving combinations of space and time or combinations of chemicals (mixtures). Two SRP mandates are addressed: (1) advanced technicues to detect associations between human health effects and environmental hazards; (2) methods to assess the risks to human health presented by hazardous substances. There are four related research aims and one research translation aim. Aim 1 is a rigorous evaluation of the use of tensor product smooths in generalized additive models (GAMs) to analyze spacetime interactions in epidemiological data. GAMs predict local disease odds over time while adjusting for known risk factors in the population. Aim 2 will apply GAM methods to investigate patterns in space and time for two populations: birth defects in parts of Massachusetts and Rhode Island (formal collaboration with SRP Project 1), and Attention Deficit Hyperactivity Disorder (ADHD)-related behaviors in children born while their mothers were living near the New Bedford Harbor Superfund Site. Aim 3 extends the application of our spatial methods to the analysis of chemical mixtures (formal collaboration with SRP Projects 4 and 6). In Aim 4, we assess combinations of exposures in epidemiology, adapting methods from toxicology. Aim 5 will make the methods developed in our project freely available via open source software, in collaboration with the Research Translation Core. The novel methods from this project should be of interest to academia, government and community organizations.

项目2评估流行病学和毒理学数据分析模式的先进方法， 空间和时间的组合或化学品的组合（混合物）。战略调整方案的两项任务是： 处理：（1）检测人类健康影响与 环境危害;（2）评估有害物质对人类健康风险的方法 物质.有四个相关的研究目标和一个研究翻译目标。目标1是一个严格的 在分析时空的广义加性模型中使用张量积平滑的评价 流行病学数据的相互作用。GAM预测局部疾病的几率随着时间的推移， 人群中已知的危险因素。目标2将应用GAM方法研究空间和时间模式 针对两个人群：马萨诸塞州和罗得岛部分地区的出生缺陷（与SRP正式合作 项目1），以及注意缺陷多动障碍（ADHD）相关行为的儿童出生时， 母亲们住在新贝德福德海港超级基金附近。Aim 3扩展了我们的 化学混合物分析的空间方法（与SRP项目4和6正式合作）。在Aim中 4.我们评估流行病学中的暴露组合，采用毒理学方法。目标5将 通过开源软件免费提供我们项目中开发的方法，与 研究翻译核心这个项目的新方法应该会引起学术界的兴趣， 政府和社区组织。