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.

抽象的 生物统计核心将为以下领域提供高质量、高效、综合的协作和支持 提议建立 UMN Udall 帕金森病 (PD) 深部脑刺激 (DBS) 中心。 该中心的主题是开发新颖的、基于电路的深部脑刺激（DBS）疗法 作为所有四个拟议项目的基础，并与其他项目合作。 支持该基础的核心，该核心将提供： 具有适当广度和深度的人员 收集的运动、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、稳健且可重复的数据管理和质量控制流程方面的服务， 统计和机器学习分析、解释和通信； 正在收集多种类型的数据并与 NINDS 帕金森病生物标志物共享数据 计划 (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 中心的研究人员、博士后和学生参与的纪律小组； 和传播活动；以及其他需要的资源。 行政核心、临床核心和影像核心，提供科学和管理服务 每个项目的实施；所有核心服务之间的无缝集成 支持项目；根据项目的需求确定该核心工作的优先顺序； 中心研究人员和实习生的持续职业发展；以及支持未来的研究和 星展银行的 PD 战略的资助机会是由该核心中心推动的。 人员将在研究计划和执行期间与项目团队一起参与，通过研究 传播，并作为新颖的跨项目举措的一部分，该举措将整合项目以提供 This Core 的运动和非运动体征的病理生理学基础的创新见解。 持续参与将提供项目之间的共同联系和持续互动 最后，我们将为发现的其他探索性分析提供资源。 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。