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Analysis of High-Dimensional Environmental Health Data

Analysis of High-Dimensional Environmental Health Data
高维环境健康数据分析
批准号：
7368488
负责人：
Brent Andrew Coull
金额：
$22.02万
依托单位：
HARVARD SCHOOL OF PUBLIC HEALTH
依托单位国家：
美国
项目类别：
财政年份：
2002
资助国家：
美国
项目状态：
已结题
起止时间：
2002-12-01 至 2010-06-30
来源：
https://reporter.nih.gov/project-details/7368488
关键词：
AddressAirAirborne Particulate MatterAnimalsAreaBiomedical ResearchBostonBreathingCardiovascular systemCitiesClassCohort StudiesComplexDailyDataData AnalysesData SetDevelopmentEnvironmental HealthEpidemiologic StudiesEpidemiologyGoalsGrantHealthHeart RateMeasurementMeasuresMethodologyMethodsModelingMorbidity - disease rateMultivariate AnalysisOutcomeParticulate MatterPatternPlayPollutionProceduresPublic Health SchoolsResearchResearch DesignRoleSourceStatistical MethodsTimeValidationanimal databasedata modelingepidemiology studyhuman datainsightinterestmarkov modelmortalityparticleresponse

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DESCRIPTION (provided by applicant): The goal of this proposal is to develop statistical methods for environmental health data when the health effects of interest are complex. The Specific Aims are motivated by problems arising in toxicological and environmental epidemiological studies of the health effects of airborne particulate matter. Specific aims of the project are the development of (i) Wavelet-based historical functional data models for assessing high-dimensional associations between exposure and health; (ii) Hierarchical hidden Markov models for analyzing multivariate functional data arising from animal particulate matter concentrator studies; (iii) Methods to address exposure measurement error arising from spatial and temporal misalignment in particulate matter epidemiology studies. We will apply the proposed methods to several data sets for which existing analysis methods do not make full use of the data, including (i) semi-continuous heart- rate variability data from matter in sensitive subpopulations. In the motivating applications, the methods will provide insight into two scientifically pressing issues in environmental health research: the identification of biologic mechanisms of morbidity and mortality of air particles, and identification of pollution sources responsible for observed health effects. More generally, the proposed methods represent advancements in the areas of functional data analysis, hidden Markov modeling, and measurement error modeling that are applicable in a variety of biomedical research settings involving high-dimensional data.
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Data Management and Analysis Core
  • 批准号：
    10559479
  • 项目类别：
  • 资助金额：
    $16.08万
  • 财政年份：
    2020
  • 负责人：
    Brent Andrew Coull
  • 依托单位：
    HARVARD SCHOOL OF PUBLIC HEALTH
Data Management and Analysis Core
  • 批准号：
    10332726
  • 项目类别：
  • 资助金额：
    $14.92万
  • 财政年份：
    2020
  • 负责人：
    Brent Andrew Coull
  • 依托单位：
    HARVARD SCHOOL OF PUBLIC HEALTH
Data Management and Analysis Core
  • 批准号：
    10112917
  • 项目类别：
  • 资助金额：
    $14.21万
  • 财政年份：
    2020
  • 负责人：
    Brent Andrew Coull
  • 依托单位：
    HARVARD SCHOOL OF PUBLIC HEALTH
Methods for Data Integration and Risk Assessment for Environmental Mixtures
国内基金
海外基金
湍流和化学交互作用对H2-Air-H2O微混燃烧中NO生成的影响研究
  • 批准号：
    51976048
  • 项目类别：
    面上项目
  • 资助金额：
    61.0万元
  • 批准年份：
    2019
  • 负责人：
    邱朋华
  • 依托单位：
    哈尔滨工业大学