Statistical Methods to Account for Exposure Uncertainty in Environmental Epidemiology
解释环境流行病学中暴露不确定性的统计方法
基本信息
- 批准号:9788454
- 负责人:
- 金额:$ 60.99万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-09-19 至 2023-06-30
- 项目状态:已结题
- 来源:
- 关键词:AddressAdultAgeAir PollutionAreaAttentionBiologicalBiological MarkersBody WeightBuffersCarbon BlackCardiovascular DiseasesCardiovascular systemChemicalsComplexComputer softwareDataData AnalysesDevelopmentDisease MarkerElderlyEnvironmentEnvironmental EpidemiologyEnvironmental ExposureEnvironmental HealthEnvironmental Risk FactorEpidemiologistEventExposure toGoalsGrantHandHealthHealth FoodHealth PolicyImpaired cognitionIncidenceIndividualInternetLibrariesLife Cycle StagesLongevityMeasurementMeasuresMethodologyMethodsModelingNational Institute of Environmental Health SciencesNatureNeighborhoodsNon-Insulin-Dependent Diabetes MellitusObesityOutcomePopulationPrincipal InvestigatorRecording of previous eventsRelative RisksResearchRiskSourceStatistical MethodsTimeToxic effectUncertaintyValidationWorkcardiovascular disorder riskcoarse particlesdisorder preventionhigh dimensionalityimprovedinnovationmiddle agemortalitymultidisciplinarynovelobesity developmentobesity in childrenolder womenpollutantpublic health relevancetooltoxicantuser friendly softwareuser-friendlyvalidation studieswalkabilityweb site
项目摘要
DESCRIPTION (provided by applicant): Exposure measurement error is a likely source of bias in nearly all environmental health studies, typically leading to an under-estimation of relative risks and a loss of statistical power to detect effects. In this proposed research, we wil take a life course approach, as consistent with NIEHS strategic priorities, focusing on methodological needs in several critical areas of environmental health, including the effects of constituents of air pollution and of aspects of the neighborhood environment on cardiovascular disease and its precursors and consequences, including all-cause mortality, obesity, type 2 diabetes and subclinical cardiovascular biomarkers. Having assembled a strong multi-disciplinary team of leading theoretical and applied statisticians, environmental epidemiologists and environmental exposure assessment experts, consistent with another NIEHS strategic objective, we will make significant contributions to novel areas of pressing environmental health policy importance, with a major focus on developing methods to accurately quantify the effects of complex single and multiple, simultaneous exposure effects across space and time, responding to another NIEHS strategic priority, reducing if not eliminating the bias and loss of efficiency otherwise present due to the presence of substantial exposure measurement error. In this work, careful attention will be paid to removing bias due to spatial and temporal confounding as well as to adjusting for confounding by indoor sources of air pollution. Currently available validation data on air pollution constituents and on features of the neighborhood environment will be assembled and used to develop measurement error models relating personal exposure to measured ambient exposure as suitable for the data at hand. Mixed longitudinal and Cox survival data regression models will underlie the analytic framework. User-friendly software implementing the methods will be posted on the web, facilitating wide-scale application of the new methods to a broad range of environmental health problems.
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
DONNA L SPIEGELMAN其他文献
DONNA L SPIEGELMAN的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('DONNA L SPIEGELMAN', 18)}}的其他基金
Community Health Worker Led Hypertension Prevention and Control (CHPC) in Nepal: An Implementation Trial
尼泊尔社区卫生工作者主导的高血压预防和控制 (CHPC):实施试验
- 批准号:
10719933 - 财政年份:2023
- 资助金额:
$ 60.99万 - 项目类别:
New Epidemiologic Methods for Reducing Measurement Error and Misclassification Bias in Cancer Epidemiology
减少癌症流行病学中测量误差和误分类偏差的新流行病学方法
- 批准号:
10801058 - 财政年份:2023
- 资助金额:
$ 60.99万 - 项目类别:
Interventions to increase adherence to cervical cancer early detection and treatment recommendations in Mexico City clinics
墨西哥城诊所采取干预措施,提高对宫颈癌早期检测和治疗建议的遵守率
- 批准号:
10528196 - 财政年份:2022
- 资助金额:
$ 60.99万 - 项目类别:
Training in Implementation Science Research and Methods
实施科学研究和方法培训
- 批准号:
10582538 - 财政年份:2021
- 资助金额:
$ 60.99万 - 项目类别:
Training in Implementation Science Research and Methods
实施科学研究和方法培训
- 批准号:
10334424 - 财政年份:2021
- 资助金额:
$ 60.99万 - 项目类别:
Statistical Methods to Account for Exposure Uncertainty in Environmental Epidemiology
解释环境流行病学中暴露不确定性的统计方法
- 批准号:
10440484 - 财政年份:2018
- 资助金额:
$ 60.99万 - 项目类别:
Statistical Methods to Account for Exposure Uncertainty in Environmental Epidemiology
解释环境流行病学中暴露不确定性的统计方法
- 批准号:
10023260 - 财政年份:2018
- 资助金额:
$ 60.99万 - 项目类别:
Statistical Methods to Account for Exposure Uncertainty in Environmental Epidemiology
解释环境流行病学中暴露不确定性的统计方法
- 批准号:
10252032 - 财政年份:2018
- 资助金额:
$ 60.99万 - 项目类别:
New methods for the design and evaluation of large HIV prevention interventions
设计和评估大型艾滋病毒预防干预措施的新方法
- 批准号:
8729765 - 财政年份:2014
- 资助金额:
$ 60.99万 - 项目类别:
Comprehensive Translational Science Analytics Tools for the Global Health Agenda
全球健康议程的综合转化科学分析工具
- 批准号:
8928183 - 财政年份:2014
- 资助金额:
$ 60.99万 - 项目类别:
相似海外基金
Developing a Young Adult-Mediated Intervention to Increase Colorectal Cancer Screening among Rural Screening Age-Eligible Adults
制定年轻人介导的干预措施,以增加农村符合筛查年龄的成年人的结直肠癌筛查
- 批准号:
10653464 - 财政年份:2023
- 资助金额:
$ 60.99万 - 项目类别:
Doctoral Dissertation Research: Estimating adult age-at-death from the pelvis
博士论文研究:从骨盆估算成人死亡年龄
- 批准号:
2316108 - 财政年份:2023
- 资助金额:
$ 60.99万 - 项目类别:
Standard Grant
Determining age dependent factors driving COVID-19 disease severity using experimental human paediatric and adult models of SARS-CoV-2 infection
使用 SARS-CoV-2 感染的实验性人类儿童和成人模型确定导致 COVID-19 疾病严重程度的年龄依赖因素
- 批准号:
BB/V006738/1 - 财政年份:2020
- 资助金额:
$ 60.99万 - 项目类别:
Research Grant
Transplantation of Adult, Tissue-Specific RPE Stem Cells for Non-exudative Age-related macular degeneration (AMD)
成人组织特异性 RPE 干细胞移植治疗非渗出性年龄相关性黄斑变性 (AMD)
- 批准号:
10294664 - 财政年份:2020
- 资助金额:
$ 60.99万 - 项目类别:
Sex differences in the effect of age on episodic memory-related brain function across the adult lifespan
年龄对成人一生中情景记忆相关脑功能影响的性别差异
- 批准号:
422882 - 财政年份:2019
- 资助金额:
$ 60.99万 - 项目类别:
Operating Grants
Modelling Age- and Sex-related Changes in Gait Coordination Strategies in a Healthy Adult Population Using Principal Component Analysis
使用主成分分析对健康成年人群步态协调策略中与年龄和性别相关的变化进行建模
- 批准号:
430871 - 财政年份:2019
- 资助金额:
$ 60.99万 - 项目类别:
Studentship Programs
Transplantation of Adult, Tissue-Specific RPE Stem Cells as Therapy for Non-exudative Age-Related Macular Degeneration AMD
成人组织特异性 RPE 干细胞移植治疗非渗出性年龄相关性黄斑变性 AMD
- 批准号:
9811094 - 财政年份:2019
- 资助金额:
$ 60.99万 - 项目类别:
Study of pathogenic mechanism of age-dependent chromosome translocation in adult acute lymphoblastic leukemia
成人急性淋巴细胞白血病年龄依赖性染色体易位发病机制研究
- 批准号:
18K16103 - 财政年份:2018
- 资助金额:
$ 60.99万 - 项目类别:
Grant-in-Aid for Early-Career Scientists
Doctoral Dissertation Research: Literacy Effects on Language Acquisition and Sentence Processing in Adult L1 and School-Age Heritage Speakers of Spanish
博士论文研究:识字对西班牙语成人母语和学龄传统使用者语言习得和句子处理的影响
- 批准号:
1823881 - 财政年份:2018
- 资助金额:
$ 60.99万 - 项目类别:
Standard Grant
Adult Age-differences in Auditory Selective Attention: The Interplay of Norepinephrine and Rhythmic Neural Activity
成人听觉选择性注意的年龄差异:去甲肾上腺素与节律神经活动的相互作用
- 批准号:
369385245 - 财政年份:2017
- 资助金额:
$ 60.99万 - 项目类别:
Research Grants