Statistical Core/Data Management

统计核心/数据管理

• 批准号: 9355078
• 负责人: Cuiling Wang
• 金额: $ 29.5万
• 依托单位: ALBERT EINSTEIN COLLEGE OF MEDICINE, INC
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/9355078
• 关键词: Aging; Biological Process; Blood Vessels; Clinical; Cognition Disorders; Cognitive; Collaborations; Communities; Complex; Consultations; Data; Data Analyses; Data Quality; Databases; Devices; Ecological momentary assessment; Ensure; Generations; Image; Impaired cognition; Manuscripts; Measurement; Measures; Methodology; Methods; Modeling; Outcome; Pain; Participant; Pathology; Pilot Projects; Positioning Attribute; Procedures; Process; Quality Control; Research; Research Design; Research Personnel; Resources; Secure; Site; Statistical Methods; Stress; Structure; System; Testing; arm; cardiovascular risk factor; clinical phenotype; data exchange; data integration; data management; design; experience; indexing; innovation; longitudinal analysis; model building; multilevel analysis; neuroimaging; neuropathology; programs; success; time interval

The Statistical/Data Management Core (SDMC) serves as the analytic “hub” of the EAS, and provides integration of the wide range of data collected by Cores, Projects, and pilot studies. It serves two functions that are essential for the success of the Einstein Aging Study (EAS). First, the SDMC maximizes data quality by implementing database systems that integrate and manage the data collected from the Administrative, Clinical, Neuropathology and Neuroimaging Cores, and from each of the three projects. In addition, it is responsible for secure data transfer across study sites and to/from participant ecological momentary assessment devices. The SDMC assumes responsibility for quality control procedures and for merging data across Projects and Cores. Second, the Statistical Core provides collaborative and consultative support to Project investigators on matters of study design, data analyses and interpretation of results. The Statistical Core is responsible for developing, implementing and interpreting statistical methods appropriate to specific research questions and hypotheses, and it collaborates regularly with Project investigators on scientific manuscripts. Specific Aims of the Statistical/Data Management Core are: Aim 1. To implement and oversee data procedures to facilitate the seamless exchange of data and ideas among Cores and Projects, and to facilitate data transfer for collaborations with investigators outside the EAS. Aim 2. To provide a general analytic framework for hypothesis testing, model building, and integration of results and analyses across measurement constructs (e.g., exposures, mechanisms, outcomes), and to collaborate with investigators regarding the framing and testing of hypotheses and to provide expertise in the design and conduct of analyses. Aim 3. To develop new statistical methodology and to apply existing methodology in innovative ways to help to fulfill the other aims of this Core and the Projects and to further aging research in general, with the emphasis of methods to combine ambulatory and traditional markers to identify early cognitive impairment and disease.

统计/数据管理核心 (SDMC) 充当 EAS 的分析“中心”，并提供 整合核心、项目和试点研究收集的广泛数据。它有两个功能 对于爱因斯坦衰老研究 (EAS) 的成功至关重要。首先，SDMC 通过以下方式最大限度地提高数据质量： 实施数据库系统，集成和管理从行政、临床、 神经病理学和神经影像学核心，以及三个项目中的每一个。此外，它还负责 跨研究地点以及参与者生态瞬时评估设备之间的安全数据传输。这 SDMC 负责质量控制程序以及跨项目和核心合并数据。 其次，统计核心为项目调查人员提供有关事项的协作和咨询支持 研究设计、数据分析和结果解释。统计核心负责开发、 实施和解释适合特定研究问题和假设的统计方法， 它定期与项目研究人员就科学手稿进行合作。 统计/数据管理核心的具体目标是： 目标 1. 实施和监督数据程序，以促进数据和想法的无缝交换 核心和项目之间的合作，并促进与 EAS 之外的研究人员合作的数据传输。 目标 2. 为假设检验、模型构建和集成提供通用分析框架 跨测量结构（例如，暴露、机制、结果）的结果和分析，以及 与研究人员合作制定和检验假设，并提供以下方面的专业知识 设计和进行分析。 目标 3. 开发新的统计方法并以创新方式应用现有方法，以帮助 实现本核心和项目的其他目标，并进一步推进老龄化研究，重点是 结合动态和传统标记来识别早期认知障碍和疾病的方法。