Project 2: Analyzing Patterns In Epidemiologic and Toxicologic Data

项目2评估流行病学和毒物学数据模式分析的先进方法，包括 空间和时间的组合或化学物质的组合(混合物)。SRP的两项任务是 解决：(1)检测人类健康影响和 环境危害；(2)危险物质对人体健康危害的评估方法 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 在广义加性模型(GAMS)中使用张量积平滑分析时空的评估 流行病学数据中的相互作用。GAMS预测随着时间的推移局部疾病的几率，同时调整 人群中已知的危险因素。目标2将应用GAM方法来研究空间和时间模式 针对两个人口：马萨诸塞州和罗德岛州部分地区的出生缺陷(与SRP正式合作 项目1)和儿童的注意缺陷多动障碍(ADHD)相关行为 母亲们住在新贝德福德港超级基金网站附近。Aim 3扩展了我们的应用 分析化学混合物的空间方法(与战略报告方案项目4和6正式协作)。在AIM 4、我们在流行病学中评估暴露的组合，采用毒理学的方法。目标5将 通过开源软件免费提供我们项目中开发的方法，并与 研究翻译核心。来自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。

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.