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Biostatistics and Bioinformatics Core

Biostatistics and Bioinformatics Core
生物统计学和生物信息学核心
批准号:
10088759
负责人:
Qi Long
金额:
$0.0万
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
项目状态:
未结题
起止时间:
1997-01-15 至 2025-11-30
关键词:
AbbreviationsAddressAdoptedApplications GrantsAreaArea AnalysesBasic ScienceBioinformaticsBiometryBiostatistics CoreBudgetsCancer CenterCancer Center Support GrantCancer ControlCatchment AreaCessation ResearchClinical ResearchClinical SciencesClinical TrialsClinical trial protocol documentCollaborationsCommunity OutreachConduct Clinical TrialsCost efficiencyDataData AnalyticsData Management ResourcesDoctor of PhilosophyElectronic Health RecordEnsureEpidemiologyFacultyFoundationsFundingFutureGrantHematologic NeoplasmsHuman ResourcesIncidenceInformaticsInstitutesLeadershipLeftMalignant NeoplasmsMalignant neoplasm of cervix uteriMalignant neoplasm of esophagusMalignant neoplasm of lungMalignant neoplasm of pancreasMalignant neoplasm of thoraxMethodologyMethodsMissionMonitorNamesObservational StudyPediatric HospitalsPhenotypePhiladelphiaPlayPopulation SciencesPreparationProtocols documentationPublicationsQiQuality ControlRadiobiologyReportingReproducibilityResearchResearch PersonnelResearch Project GrantsResearch SubjectsResearch SupportResource SharingResourcesSeriesServicesSkin CancerState GovernmentStructureSupervisionSushi DomainSystemTimeTrainingTranslational ResearchWorkloadacronymsanticancer researchbiomedical informaticscancer research center directorcommunity engagementdata managementdesignenvironmental carcinogenesishealth dataimaging programmalignant breast neoplasmmedical schoolsmeetingsmembermortalitynovelprofessorprogramsrecruitresearch studysmoking cessationsynergismtobacco carcinogenesis

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中文摘要
翻译
项目摘要--生物统计学和生物信息学核心 NCI癌症中心对艾布拉姆森癌症中心(ACC)的支持拨款(CCSG)资助了 生物统计和生物信息学核心(BBC),前身为生物统计核心,自其 成立于1978年。作为共享资源的一部分,BBC在2015年的续订中被评为“特殊” 小组(根据旧的FOA)。在目前的资助期,BBC增加了分析BIG的方法方面的专业知识 健康数据,如组学数据和电子健康记录数据。行政协调会支持的生物信息学服务 进行了合并,以提高BBC的集中化可用性和成本效益。BBC为您提供专家 研究设计、实施和分析中的生物统计学、生物信息学和数据管理指南 由行政协调会成员开展的项目,并提供设计和分析各方面的培训。核心人员 应用现有的设计和分析方法,并采用或开发新的方法来解决小说 癌症研究中出现的设计和分析问题。BBC的一项主要责任是支持设计和 进行临床试验。因此,英国广播公司在议定书审查和监测系统中发挥着关键作用, 特别是通过临床试验科学审查和监测委员会。齐龙,博士生,教授 生物统计学,自2016年以来一直担任BBC总监,领导着一支成就斐然、高度合作的团队 主要摘自生物统计、流行病学和信息学系 佩雷尔曼医学院。在本供资期间,英国广播公司继续在 向行政协调会成员提供协作生物统计、生物信息学和数据管理支持 在基础、转化、临床和人口科学研究以及社区推广和 参与活动。BBC成员共同撰写了300多份与癌症有关的出版物;合作 与英国广播公司的合作对资助许多与癌症有关的赠款至关重要,包括7个P01,3个P50, 一个P42、三个U54和两个U24,在皮肤、胰腺、肺、胸部、胸部、颈部和 食道癌、恶性血液病、戒烟研究和环境 致癌,以及27个R01,一个R37和许多R21,K系列资助,以及基金会和州 政府拨款。此外,BBC成员还为监测癌症发病率和死亡率提供了关键支持 在集水区。在使用共享资源的93名调查人员中,ACC成员占93名(100%) 在最近报告所述期间(07/01/18-06/30/19)。总而言之,英国广播公司是由一个超级 由生物统计、生物信息学和数据组成的合格、高效、多才多艺、高度协作的团队 深度参与支持研究和社区外展的管理专业人员以及 行政协调会的参与活动。英国广播公司提供的服务大大增加了科学研究 严谨性和可重复性,对行政协调会的任务至关重要。
英文摘要
PROJECT SUMMARY – Biostatistics and Bioinformatics Core The NCI Cancer Center Support Grant (CCSG) to the Abramson Cancer Center (ACC) has funded the Biostatistics and Bioinformatics Core (BBC), formerly the Biostatistics Core, continuously since its establishment in 1978. The BBC was rated “Exceptional” in the 2015 renewal as part of a Shared Resources Group (per the old FOA). In the current funding period, the BBC added expertise in methods for analysis of big health data such as `omics data and electronic health records data. ACC-supported bioinformatics services were consolidated to enhance centralized availability and cost-efficiency in the BBC. The BBC provides expert biostatistical, bioinformatics, and data management guidance in the design, conduct and analysis of research projects conducted by ACC members, and offers training in all aspects of design and analysis. Core personnel apply existing design and analysis methodologies, and also adapt or develop new methods to address novel design and analysis issues arising in cancer studies. A major BBC responsibility is to support the design and conduct of clinical trials. As such, the BBC plays a key role in the Protocol Review and Monitoring System, particularly through the Clinical Trials Scientific Review and Monitoring Committee. Qi Long, PhD, Professor of Biostatistics, has served as BBC Director since 2016 and leads an accomplished and highly collaborative team primarily drawn from the faculty of the Department of Biostatistics, Epidemiology and Informatics in the Perelman School of Medicine. In the current funding period, the BBC continued to be a dynamic presence in the ACC, providing collaborative biostatistical, bioinformatics and data management support to ACC members in basic, translational, clinical, and population science research as well as in community outreach and engagement activities. BBC members co-authored more than 300 cancer-related publications; collaboration with the BBC was essential to the funding of many cancer-related grants, including seven P01s, three P50s, one P42, three U54s, and two U24s in areas such as skin, pancreatic, lung, breast, thoracic, cervical, and esophageal cancers, hematologic malignancies, smoking cessation research, and environmental carcinogenesis, as well as 27 R01s, one R37 and numerous R21s, K-series grants, and foundation and state government grants. In addition, BBC members provided key support to monitor cancer incidence and mortality in the catchment area. ACC members accounted for 93 of 93 investigators (100%) using the Shared Resource during the most recent reporting period (07/01/18 – 06/30/19). In summary, the BBC is composed of a superbly qualified, productive, versatile and highly collaborative team of biostatistics, bioinformatics and data management professionals who are deeply involved in supporting research and community outreach and engagement activities in the ACC. The services provided by the BBC substantially increase scientific research rigor and reproducibility and are essential to the mission of the ACC.
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Bioinformatics Core
  • 批准号:
    10733235
  • 项目类别:
  • 资助金额:
    $11.19万
  • 财政年份:
    2023
  • 负责人:
    Qi Long
  • 依托单位:
Statistical Modeling of Alzheimer's Disease Progression Integrating Brain Imaging and -Omics Data
Statistical Modeling of Alzheimer's Disease Progression Integrating Brain Imaging and -Omics Data
Statistical Modeling of Alzheimer's Disease Progression Integrating Brain Imaging and -Omics Data
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