Core C: Biometrics
核心C:生物识别
基本信息
- 批准号:10405602
- 负责人:
- 金额:$ 42.05万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:1997
- 资助国家:美国
- 起止时间:1997-03-01 至 2023-05-31
- 项目状态:已结题
- 来源:
- 关键词:Acquired Immunodeficiency SyndromeAreaAwardBehavioralBioinformaticsBiometryClinicalClinical ResearchClinical Trials Data Monitoring CommitteesClinical Trials NetworkCollaborationsCommunicationCommunitiesComplexComputer softwareConsultationsDataData AnalysesData SetDatabase Management SystemsDatabasesDevelopmentEnsureEvaluationExposure toFacultyFosteringFundingGoalsGrantGroup MeetingsHIVHIV Vaccine Trials NetworkInformaticsInfrastructureInternationalJournalsLaboratoriesLaboratory StudyLinkManuscriptsMathematicsMentorsMethodsMethylationModelingOutcomePreparationPreventionPublicationsPublishingRandomizedReportingReproducibilityResearchResearch DesignResearch PersonnelResearch SupportScienceScientistServicesSpecialistStatistical Data InterpretationStatistical MethodsStudentsTestingTrainingTraining ActivityUniversitiesVaccinesValidationViralWashingtonbiomathematicscomplex datacomputing resourcesdata managementdesigngraduate studenthigh dimensionalityimprovedinnovationinterestinvestigator trainingmathematical analysismathematical methodsmembermetabolomicsmethod developmentmicrobicidemicrobiomemicrobiome analysismultidimensional datamultidisciplinarynext generationnovelprogramsrecruitresearch studysecondary analysisskillsstatisticstoolworking group
项目摘要
Abstract
The Biometrics Core provides the infrastructure that facilitates an organized, synergistic, and centralized
approach to statistics in HIV research for the UW/Fred Hutch CFAR members, with an emphasis on providing
support and training to junior investigators. The services provided by the Core help ensure rigor and
reproducibility in HIV research conducted by CFAR investigators. In addition to standard statistical support, the
Core provides advanced statistical methods and expertise in the design, conduct and analysis of clinical research
and laboratory studies to CFAR investigators. This includes the development of novel methods when standard
approaches are not adequate or optimal by providing a crucial link between CFAR biomedical researchers and
the large number of biostatistics and other quantitative sciences faculty at the University of Washington and the
Fred Hutch who are developing new methods for HIV research. In addition, the CFAR clinical, behavioral, and
laboratory researchers using the Core provide datasets for analysis, which motivate the development of new
quantitative methods by biostatisticians, biomathematicians and bioinformaticists at UW and Fred Hutch. Hence,
this link benefits CFAR members as well as academic quantitative science researchers. Finally, the Core
provides training in both standard statistical methods as well as more advanced topics involving specialized
method for complex new data types and provides an opportunity for the next generation of quantitative
researchers and leaders. Specifically, methods for both microbiome analysis and viral dynamics studies are not
well established so that results from analysis using standard methods are far from rigorous and reproducible.
Thus the need for further methods development in this area is crucial. Finally, the quantitative support we provide
contributes to the innovative, impactful, multidisciplinary and global research of all members who collaborate
with our Core. To promote and facilitate these multidisciplinary interactions, the Biometrics Core: i) provides
statistical, mathematical and informatics collaboration and consultation on study design, forms design, evaluation
and pre-testing, data analysis, interpretation and reporting; coordinates Data Safety and Monitoring Boards;
provides data management services (Aim 1); ii) serves as a liaison between the Core user with advanced
quantitative needs and experts from the UW Departments of Biostatistics, Statistics, Mathematics, and Applied
Mathematics, and the Fred Hutch Program in Biostatistics and Biomathematics (Aims 1 and 2); 3) develops,
adapts and/or implements new or novel statistical and mathematical methods as dictated by the needs of CFAR
members and their projects (Aim 2); 4) sponsors and conducts training activities designed to disseminate
statistical skills to CFAR investigators, inform the HIV researchers about services available from the Biometrics
Core, and introduce novel quantitative approaches to the UW/ Fred Hutch CFAR community (Aim 3); and 5)
organizes activities that promote communication among existing statisticians in HIV research and interest from
other biostatisticians that can be recruited to meet the growing demand of HIV research (All Aims).
抽象的
生物识别核心提供了促进有组织,协同和集中式的基础设施
UW/Fred Hutch CFAR成员的HIV研究统计方法,重点是提供
支持和培训初级调查员。核心提供的服务有助于确保严格和
CFAR研究人员进行的HIV研究的可重复性。除了标准统计支持外
Core提供了高级统计方法和临床研究设计,行为和分析的专业知识
和CFAR研究人员的实验室研究。这包括标准标准时的新方法的开发
通过在CFAR生物医学研究人员和
华盛顿大学和
弗雷德·哈奇(Fred Hutch)正在开发新的艾滋病毒研究方法。此外,CFAR临床,行为和
使用核心的实验室研究人员提供了用于分析的数据集,这激发了新的发展
UW和Fred Hutch的生物统计学家,生物学家和生物信息学家的定量方法。因此,
此链接使CFAR成员以及学术定量科学研究人员受益。最后,核心
提供两种标准统计方法的培训以及涉及专业的更高级主题
复杂新数据类型的方法,并为下一代定量提供了机会
研究人员和领导者。具体而言,微生物组分析和病毒动力学研究的方法不是
良好的建立使得使用标准方法分析的结果远非严格且可再现。
因此,对该领域的进一步方法开发的需求至关重要。最后,我们提供的定量支持
为所有合作的成员的创新,有影响力,多学科和全球研究做出贡献
有了我们的核心。为了促进和促进这些多学科互动,生物识别核心:i)提供
统计,数学和信息学协作与研究设计,形式设计,评估
以及预测试,数据分析,解释和报告;协调数据安全和监视板;
提供数据管理服务(AIM 1); ii)作为高级核心用户之间的联络
UW生物统计学,统计,数学和应用的定量需求和专家
数学和生物统计学和生物护理学方面的Fred Hutch计划(目标1和2); 3)发展,
根据CFAR的需求决定了适应和/或实施新的或新颖的统计和数学方法
成员及其项目(AIM 2); 4)赞助商并开展旨在传播的培训活动
CFAR调查人员的统计技能,将生物识别技术可用的服务告知HIV研究人员
核心,并将新颖的定量方法引入UW/ Fred Hutch CFAR社区(AIM 3); 5)
组织活动,从
可以招募的其他生物统计学家,以满足艾滋病毒研究不断增长的需求(所有目标)。
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)
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{{ truncateString('SARAH E HOLTE', 18)}}的其他基金
Novel threat detection methodology to detect HIV outbreaks in Washington
用于检测华盛顿艾滋病毒爆发的新型威胁检测方法
- 批准号:
10683347 - 财政年份:2022
- 资助金额:
$ 42.05万 - 项目类别:
Novel threat detection methodology to detect HIV outbreaks in Washington
用于检测华盛顿艾滋病毒爆发的新型威胁检测方法
- 批准号:
10547381 - 财政年份:2022
- 资助金额:
$ 42.05万 - 项目类别:
Estimation of the Prevalence of Post Treatment Controllers of HIV-1 Infection Using Pooled Data from Independent Study Sites
使用独立研究中心的汇总数据估计 HIV-1 感染治疗后控制者的患病率
- 批准号:
9137395 - 财政年份:2016
- 资助金额:
$ 42.05万 - 项目类别:
Estimation of the Prevalence of Post Treatment Controllers of HIV-1 Infection Using Pooled Data from Independent Study Sites
使用独立研究中心的汇总数据估计 HIV-1 感染治疗后控制者的患病率
- 批准号:
9335722 - 财政年份:2016
- 资助金额:
$ 42.05万 - 项目类别:
Mathematical and Experimental Models for HIV Dynamics
HIV 动力学的数学和实验模型
- 批准号:
6874937 - 财政年份:2003
- 资助金额:
$ 42.05万 - 项目类别:
Mathematical and Experimental Models for HIV Dynamics
HIV 动力学的数学和实验模型
- 批准号:
6655395 - 财政年份:2003
- 资助金额:
$ 42.05万 - 项目类别:
Mathematical and Experimental Models for HIV Dynamics
HIV 动力学的数学和实验模型
- 批准号:
7035314 - 财政年份:2003
- 资助金额:
$ 42.05万 - 项目类别:
Mathematical and Experimental Models for HIV Dynamics
HIV 动力学的数学和实验模型
- 批准号:
7222791 - 财政年份:2003
- 资助金额:
$ 42.05万 - 项目类别:
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