UMN Udall Biostatistics Core

UMN Udall 生物统计学核心

• 批准号: 10703240
• 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/10703240
• 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; 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; remote assessment; 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.

摘要 生物统计核心将提供高质量，高效，综合合作和支持， UMN Udall Center on Deep Brain Stimulation（DBS）for Parkinson's Disease（PD）整体 该中心的主题是开发新的，基于电路的脑深部电刺激（DBS）疗法， 帕金森病（PD）。作为所有四个拟议项目的基础，并与其他 核心支持这一基础，这一核心将提供：人员与适当的广度和深度 收集运动、神经生理、认知和智能手机/远程医疗数据的专业知识; 研究设计服务、强大且可重现的数据管理和质量控制管道， 统计和机器学习分析、解释和沟通;跨平台的数据集成 正在收集的许多类型的数据以及与NINDS帕金森病生物标志物的数据共享 程序（PDBP）数据管理资源（DMR）;与熟练程度相关的职业发展 统计和机器学习方法，研究设计概念，以及内部交流， 研究人员，博士后和中心学生的纪律团队;参与参与 和传播活动;以及所需的其他资源。我们将密切和广泛地与 行政核心、临床核心和成像核心的科学和管理服务， 每一个项目，因为它是进行;在无缝集成的所有核心的服务与对方，以最好的 支持项目;在项目需求中确定本核心工作的优先次序; 中心研究人员和受训人员的持续职业发展;以及支持未来的研究和 PD中DBS战略的资助机会，这是由该拟议中心推动的。这个核心的 人员将通过研究，在研究计划和执行期间参与项目团队 传播，并作为新的跨项目倡议的一部分，将整合项目， 对PD运动和非运动体征的病理生理学基础的创新见解。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的互动 与其他核心。最后，我们将提供更多的资源，以进行更多的探索性分析， 随着研究的进展，充分利用中心精心收集和管理的数据， 从而也促进了未来研究的创新假设的发展。