RESOURCE CORE 1: BIOSTATISTICS, INFORMATICS AND TRANSLATIONAL RESEARCH

资源核心 1：生物统计学、信息学和转化研究

• 批准号: 8206005
• 负责人: John D. Sorkin
• 金额: $ 14.91万
• 依托单位: UNIVERSITY OF MARYLAND BALTIMORE
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-09-15 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/8206005
• 关键词: Adverse event; American; Area; Attention; Bioinformatics; Biometry; Biostatistics Core; Calendar; Chronic Disease; Clinic; Clinical; Clinical Research; Clinical Research Curriculum Award; Collaborations; Communities; Confidentiality; Data; Data Analyses; Data Storage and Retrieval; Databases; Detection; Discipline; Education; Elderly; Ensure; Environment; Epidemiology; Exercise; Faculty; Fostering; Funding; Gerontology; Goals; Informatics; Information Systems; Institution; Instruction; Interdisciplinary Study; Intervention; Investigation; Laboratories; Laboratory Study; Leadership; Maintenance; Management Information Systems; Maryland; Mentors; Metabolic; Methodology; Monitor; Motor; Obesity; Public Health; Publishing; Quality Control; Randomized; Recruitment Activity; Registries; Rehabilitation therapy; Reporting; Research; Research Design; Research Infrastructure; Research Personnel; Research Support; Resource Sharing; Resources; Risk; Robotics; Sample Size; Schedule; Scientist; Secure; Security; Series; Services; System; Training; Translational Research; Translations; Universities; Vertebral column; Work; base; data integrity; data management; design; disability; functional decline; improved; lectures; member; nervous system disorder; nutrition; prevent; programs; research and development; research study; restoration; statistics; successful intervention; user-friendly; working group

The goal of the Biostatistics, Informatics, and Translational Research Core (RC-1) is to establish and an environment that promotes excellence in the design and execution of OAIC studies where best statistical practices guide the analysis of data, to facilitate the search for mechanisms underlying successful interventions, and to promote the translation of promising interventions into the clinic and community.The Core will organize Research Working Groups (RWGs) that will assist with the design, execution, and oversight of all University of Maryland Older Americans Independence Center's (OAIC) research, and will provide an informatics backbone, GERI, that will support all aspects of the Center's work. We will make sure that best statistical practices guide the design and execution of OAIC research, the analysis of data, and the interpretation of the results of the analysis. We will educate faculty, RCDC scholars Qr. faculty) and staff in the principles of statistics and epidemiology. Our Research Working Groups, composed of the study PI, the Pi's mentor (if the PI is an RCDC Scholar), and one member from each Core, will use the automated reports produced by GERI as they oversee the progress of OAIC studies and monitor study progress. The reports will support the RWGs' efforts to assure that OAIC studies are completed in a timely fashion, and will help the RWGs identify studies that have potential for translation from laboratory bench, to center-based studies, and to community-based interventions. GERI will collect and track requests for OAIC services (Request for Services System), will assist with the recruiting of subjects (Registry), will track study progress (Tracking Database), collect information regarding adverse events (Adverse Event Database), and will facilitate laboratory quality control (Quality Control and Outlier Detection Systems). Our educational efforts will include our lecture series as well as the formal didactic education provided by our institution's MPH program, our K30 program, which offers an MS in Clinical Research, and our summer course Clinical and Translational Research at UMB.

生物统计学，信息学和翻译研究核心（RC-1）的目标是建立和一个促进卓越在OAIC研究的设计和执行方面卓越的环境，在该研究中，最佳统计实践指导数据分析，以搜索成功的干预措施的搜索机制，并促进干预的基础机制，并促进有望的核心研究群体，以促进核心研究群体，以促进核心研究（将工作）（将工作）（组织）（组织）（将（组织）组织起来。并监督马里兰州大学较老的美国人独立中心（OAIC）的研究，并将提供信息学骨干，GERI，它将支持该中心工作的各个方面。我们将确保最佳统计实践指导OAIC研究的设计和执行，数据分析以及分析结果的解释。我们将教育RCDC学者QR教师。统计和流行病学原则的教职员工。 我们的研究工作组，由PI研究组成，PI的导师（如果PI是RCDC学者），以及每个核心的一名成员，将使用GERI监督OAIC研究进度并监测研究进度的GERI产生的自动报告。这些报告将支持RWGS确保及时完成OAIC研究的努力，并将帮助RWGS确定具有的研究 从实验室基准，基于中心的研究以及基于社区的干预措施的潜力。 GERI将收集和跟踪OAIC服务的请求（服务系统请求），将有助于招募主题（注册表），将跟踪研究进度（跟踪数据库），收集有关不良事件的信息（不良事件数据库），并促进实验室质量控制（质量控制和外部检测系统）。我们的教育工作还将包括我们的讲座系列 作为我们机构的MPH计划提供的正式教育，我们的K30计划提供了临床研究的MS，以及UMB的夏季课程临床和转化研究。