Analysis of High-Dimensional Environmental Health Data

高维环境健康数据分析

• 批准号: 6889176
• 负责人: Brent Andrew Coull
• 金额: $ 19.48万
• 依托单位: HARVARD SCHOOL OF PUBLIC HEALTH
• 依托单位国家: 美国
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-05-01 至 2007-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6889176
• 关键词: air pollution; clinical research; environmental exposure; environmental health; environmental toxicology; epidemiology; human data; longitudinal human study; mathematical model; model design /development; pollutant interaction; pollution related respiratory disorder; statistics /biometry

DESCRIPTION (provided by applicant): The goal of this proposal is to develop statistical analysis methods for environmental health data when the health effects of interest are complex. The Specific Aims are motivated by problems arising in toxicological studies and environmental epidemiological studies that investigate environmental effects that potentially result in multiple, interrelated changes over time. Empirical data analysis will play a central role in each of the Specific Aims. Environmental epidemiologists now routinely implement hierarchical study designs for an array o of biologic endpoints. A general class of hierarchical models for multilevel binary and ordinal symptom data will be developed, and the performance of these models will be compared to existing approaches known to be sensitive to modeling assumptions. Epidemiological studies have repeatedly shown associations between air particulate and increased morbidity and mortality in human populations, particularly in subjects with pre-existing respiratory or cardiac vulnerability. Current laboratory research focuses on the physiological mechanisms. Flexible models will be developed for assessing effects of exposure over time on multiple physiological endpoints.

描述（由申请人提供）：该提案的目的是在感兴趣的健康效果复杂时开发环境健康数据的统计分析方法。具体目的是由毒理学研究和环境流行病学研究引起的问题所激发的，这些研究研究了可能导致多种相互关联的变化的环境影响。经验数据分析将在每个特定目的中起着核心作用。 现在，环境流行病学家通常为生物终点的阵列O实施层次研究设计。将开发用于多级二进制和顺序症状数据的一般层次模型，并将这些模型的性能与已知对建模假设敏感的现有方法进行比较。 流行病学研究反复表明，空气颗粒物与人群中的发病率和死亡率增加，尤其是在患有呼吸道或心脏脆弱性的受试者中。当前的实验室研究重点是生理机制。将开发灵活模型，以评估随着时间的流逝对暴露的影响对多个生理终点的影响。