UMN Udall Biostatistics Core

UMN Udall 生物统计学核心

• 批准号: 10489827
• 负责人: Lynn E Eberly
• 金额: $ 19.37万
• 依托单位: UNIVERSITY OF MINNESOTA
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-17 至 2026-07-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10489827
• 关键词: Address; Adverse event; Biological Markers; Biostatistics Core; Cellular Phone; Clinical; Clinical Data; Cognitive; Collaborations; Communication; Communities; Complex; Data; Data Analyses; Data Collection; Data Management Resources; Database Management Systems; Databases; Deep Brain Stimulation; Development; Dimensions; Disease; Education; Ensure; Ethics; Fostering; Foundations; Functional disorder; Funding Opportunities; Human Resources; Image; Information Dissemination; Knowledge; Leadership; Logistics; Measures; Mentors; Mission; Modeling; Modernization; Monitor; Motor; National Institute of Neurological Disorders and Stroke; Neurocognitive; Outcome; Parkinson Disease; Patients; Postdoctoral Fellow; Quality Control; Reproducibility; Research; Research Design; Research Personnel; Research Priority; Resources; Retrieval; Safety; Secure; Services; Students; Sum; Symptoms; System; Telemedicine; Work; base; career; career development; catalyst; data integration; data management; data pipeline; data quality; data sharing; design; follow-up; human subject; innovation; insight; interest; motor disorder; multidimensional data; multiple data sources; neurophysiology; novel; participant safety; programs; recruit; repository; research data dissemination; statistical and machine learning; symposium; training project; web site

ABSTRACT The Biostatistics Core will provide high quality, efficient, integrated collaboration in and support of the proposed UMN Udall Center on Deep Brain Stimulation (DBS) for Parkinson’s Disease (PD). The overall theme of the Center is to develop novel, circuit based deep brain stimulation (DBS) therapies for Parkinson’s Disease (PD). As a foundation for all four proposed projects, and in collaboration with other cores in support of this foundation, this Core will provide: personnel with the appropriate breadth and depth of expertise for the motor, neurophysiological, cognitive, and smartphone/telemedicine data being collected; services in study design, robust and reproducible data management and quality control pipelines, statistical and machine learning analysis, and interpretation and communication; data integration across the many types of data being collected and data sharing with the NINDS Parkinson’s Disease Biomarkers Program (PDBP) Data Management Resource (DMR); career development related to proficiency in statistical and machine learning approaches, study design concepts, and communication on inter- disciplinary teams for investigators, post-docs, and students in the Center; participation in engagement and dissemination activities; and other resources as needed. We will interact closely and extensively with the Administrative Core, the Clinical Core, and the Imaging Core on scientific and management services for each project as it is carried out; on the seamless integration of all cores’ services with each other to best support the projects; on the prioritization of this Core’s work across the needs of the projects; on the ongoing career development of Center investigators and trainees; and on supporting future research and funding opportunities on DBS strategies in PD which are motivated by this proposed Center. This Core’s personnel will participate with project teams during study planning and execution, through study dissemination, and as part of novel cross-project initiatives that will integrate the projects to provide innovative insight into the pathophysiological basis of motor and non-motor signs in PD. This Core’s continuity of involvement will provide a common connection among the projects and continuous interaction with the other cores. Lastly, we will provide resources for additional exploratory analyses that come to light as the research progresses, taking full advantage of the Center’s careful data collection and management, thereby also facilitating the development of innovative hypotheses for future research.

抽象的 生物统计学核心将提供高质量，高效，集成的协作和支持 拟议的UMN UDALL中心是帕金森氏病（PD）的深脑刺激（DBS）。总体 该中心的主题是开发基于电路的新型深脑刺激（DBS）疗法 帕金森氏病（PD）。作为所有四个拟议项目的基础，并与其他项目合作 为了支持该基础的核心，该核心将提供：具有适当宽度和深度的人员 收集运动，神经生理学，认知和智能手机/远程医疗数据的专业知识； 研究设计，鲁棒和可重复的数据管理以及质量控制管道中的服务， 统计和机器学习分析以及解释和沟通；跨数据集成 收集的许多类型的数据以及与Ninds帕金森氏病生物标志物的数据共享 程序（PDBP）数据管理资源（DMR）;职业发展与熟练程度有关 统计和机器学习方法，研究设计概念和交流 中心的调查人员，职业后和学生的纪律团队；参与参与 和传播活动；和其他资源。我们将与 行政核心，临床核心以及科学和管理服务的成像核心 每个项目都进行；关于所有核心服务的无缝集成，以达到最佳 支持项目；关于该核心在项目需求的优先级；在 中心调查员和学员的职业发展；并支持未来的研究和 PD中DBS策略的资金机会是由该拟议中心激励的。这个核心 人员将在研究计划和执行过程中与项目团队一起参加研究 作为新颖的跨项目计划的一部分，将整合项目以提供 对PD中运动和非运动体征的病理生理基础的创新见解。这个核心 参与的连续性将在项目之间提供共同的联系和持续互动 与其他核心。最后，我们将提供资源，以进行其他探索性分析 随着研究的进行，充分利用了中心的仔细数据收集和管理， 从而支持开发创新的假设以供未来的研究。