BIOSTATISTICAL SUPPORT UNIT
BIOSTATISTICAL SUPPORT UNIT
批准号:
8357068
负责人:
HASAN A AHMAD
金额:
$13.39万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-06-01 至 2012-05-31
关键词:
Antineoplastic AgentsAreaBiomedical ResearchBiometryClinicalClinical TrialsCollaborationsComputer softwareControl GroupsDataData AnalysesData Base ManagementData CollectionDevelopmentEndpoint DeterminationEngineeringEnsureEnvironmental HealthEpidemiologyFacultyFosteringGoalsGrantHealthInformation ManagementInstitutionInterdisciplinary StudyLaboratoriesLearningPeer ReviewPilot ProjectsPropertyProtocols documentationPublicationsReportingResearchResearch DesignResearch InfrastructureResearch PersonnelResearch Project GrantsResourcesSample SizeScienceStatistical ComputingStatistical MethodsStudentsTechnologyTestingTherapeuticTrainingTranslational ResearchUnited States National Institutes of HealthUniversitiesWorkclinical epidemiologycollegedata managementdatabase designdesignpeerpopulation basedprogramsresearch facilityresearch studyscientific computingstatistical servicestatisticssuccess
中文摘要
生物统计支持单位
生物统计支持单位 (BSU) 是目前由杰克逊州立大学 (JSU) 国立卫生研究院-RCMI 环境健康中心支持的多用户核心研究设施之一。近年来,BSU 为 JSU RCMI 项目的成功做出了重大贡献,为 RCMI 研究人员提供了生物统计学、应用环境统计、统计计算以及数据库和信息管理方面的能力。影响
过去 5 年中,BSU 对 RCMI 项目的支持通过 32 篇同行评审出版物和 7 篇博士研究论文得到了证明。此外,BSU 目前还支持科学、工程与技术学院教师和学生开展的 14 个研究项目。该部门还与 RCMI 赠款更新申请中包含的四个试点项目的 Pis 密切合作;确保研究设计充分,包括研究假设的发展、研究终点的确定、
实验组、对照组和样本量,以及适当统计检验的使用。预计 BSU 将在数据收集、分析和解释以及数据管理和发布方面提供建议。 BSU 的总体目标是: a) 加强其生物医学研究基础设施; b) 向RCMI提供各方面的生物统计服务
调查员; c) 促进这些研究人员与 JSU 和其他高等教育机构的同行之间的跨学科研究合作。因此,BSU的具体目标是: 1)通过获取新的硬件和软件来增强现有的生物统计相关基础设施; 2) 为环境化合物健康影响实验、抗癌药物治疗特性实验、临床试验、流行病学和人群研究以及生态研究的规划、实施、分析和报告提供专业知识; 3) 为实验、临床、流行病学和/或生态研究数据的高效、准确的数据库设计和管理提供建议; 4)为数据分析和科学制图提供科学计算专业知识; 5) 在研究设计、数据收集、
用于实验室、临床、人群和/或生态研究的计算机化和统计方法; 6) 与 RTRN 数据技术协调中心合作,利用资源更有效地设计实验和协议,以及管理 T1 和 T2 转化研究生成的数据。
英文摘要
BIOSTATISTICAL SUPPORT UNIT
The Biostatistical Support Unit (BSU) is one of the multi-user core research facilities currently supported by the National Institutes of Health-RCMI Center for Environmental Health at Jackson State University (JSU). In recent years, the BSU has significantly contributed to the success of the RCMI Program at JSU, by providing RCMI investigators with capabilities in biostatistics, applied environmental statistics, statistical computing, and database and information management. The impact
of the BSU on the RCMI Program is evidenced by thirty two peer-reviewed publications and seven doctoral research dissertations over the past 5 years. Also, the BSU currently supports fourteen research projects conducted by faculty and students in the College of Science, Engineering and Technology. This Unit has also worked closely with the Pis of the four pilot projects that are included in the RCMI grant renewal application; by ensuring that the study designs are adequate, including the development of study hypotheses, the identification of research end-points, the determination of
experimental groups, control groups and sample sizes, and the use of appropriate statistical tests. It is also anticipated that the BSU will provide advice in data collection, analysis and interpretation, as well as in data management and publication. The overarching goals of the BSU are to: a) strengthen its biomedical research infrastructure; b) provide all aspects of bio-statistical services to RCMI
investigators; and c) foster interdisciplinary research collaborations among these investigators and their peers at JSU and other institutions of higher learning. Therefore, the specific aims of the BSU are: 1) To enhance the existing biostatistics-related infrastructure by acquiring new hardware and software; 2) To provide expertise for the planning, conduct, analysis and reporting of experiments on health effects of environmental compounds, experiments on therapeutic properties of anti-cancer drugs, clinical trials, epidemiologic and population based studies, and ecological studies; 3) To provide advice for the efficient and accurate database design and management of experimental, clinical, epidemiology, and/or ecologic research data; 4) To provide expertise for scientific computing for data analysis and scientific graphics; 5) To train RCMI investigators and students in the areas of study design, data collection,
computerization, and statistical methods for laboratory, clinical, population-based, and/or ecological studies; and 6) To collaborate with the RTRN-Data Technology Coordinating Center leverage resources for a more efficient design of experiments and protocols, and management of data generated from T1 and T2 translational research.
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会议论文
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