DATA MANAGEMENT AND STATISTICS

数据管理和生物统计学核心（数据核心）为所有六个核心（行政，临床，神经病理学，神经影像学，心理社会学，教育）以及ADCC附属的个人研究人员执行数据管理和分析。数据核心将纽约大学ADCC收集的所有数据保存在一个集中的数据库中，将数据传输到国家阿尔茨海默病协调中心（NACC），为所有ADCC和ADRC创建一个通用数据库，并为ADCC中的所有合作研究人员提供实验设计和统计分析方面的咨询和实践帮助。老龄化和痴呆症相关数据的规模、类型和复杂性的快速增长要求数据核心扩展其功能，以便（1）促进通过互联网进行信息交换，以及（2）引入、应用 并为全面的数据分析开发新的统计方法。数据核心的具体目标是：1。继续提供传统的数据管理和统计咨询服务，包括管理和更新中心数据库，提供实验设计和统计分析咨询，并与NACC保持密切合作，为所有ADC实施统一的数据集。2.进一步开发和维持一个安全的网上数据库，供中心内部和中心/NACC/其他合作者之间多用户在线交流信息。特别是，我们将升级我们的视觉 FoxPro数据库服务器升级为一个更加网页友好和多功能的Microsoft SQL服务器。3.积极发起、发展、参与和指导我们的同事内部和之间的统计分析 核心/中心。数据核心分析师（包括学员）被分配到其他核心，以增加互动和理解，并促进设计和分析方面的密切合作。数据核心主管每两周与核心分析师举行一次会议，并与NACC进行沟通，以进行协作分析。4.教育中心附属研究人员对数据库的利用和相关的统计分析方法。这将通过一个全面的内联网网站来实现，该网站提供详细的教育专题和在线帮助。

The Data Management and Biostatistics Core (Data Core) performs data management and analysis for all six fellow cores (Administrative, Clinical, Neuropathology, Neuroimaging, Psychosocial, Education), and for individual researchers affiliated with the ADCC. The Data Core maintains all data collected by the NYU ADCC in a centralized database, transfers data to the National Alzheimer's Coordinating Center (NACC) to create a common database for all ADCC's and ADRC's, and offers consultation and hands-on help in experimental design and statistical analysis to all collaborating investigators in the ADCC. The rapid increase in the size, the type and the complexity of aging and dementia related data demands that the Data Core expand its functions in order to (1) facilitate information exchange via the Internet, and (2) introduce, apply and develop novel statistical methods for comprehensive data analysis. The Data Core Specific Aims are: 1. Continue to provide its traditional data management and statistical consultation services which include managing and updating the centralized Center database, offering consultation on experimental design and statistical analysis, and maintaining close collaboration with the NACC in the implementation of the uniform data set for all ADC's. 2. Further develop and maintain a secure Web-based database for multi-user on-line information exchange within the Center and between centers/NACC/other collaborators. In particular, we will upgrade our Visual FoxPro database server to a more web-friendly and versatile Microsoft SQL server. 3. Actively initiate, develop, participate in and direct statistical analyses within and between our fellow cores/centers. Data Core analysts (including student trainees) are assigned to fellow cores to increase interactions and understanding, and foster close collaborations in design and analysis. Data Core leader conducts biweekly meetings with Core analysts and communicates with NACC for collaborative analysis. 4. Educate Center affiliated researchers on database utilization and related statistical analysis methods. This will be achieved through a comprehensive intranet site with detailed education topics and on-line help.