DATA MANAGEMENT AND STATISTICS

数据管理和生物统计核心(数据核心)为所有六个核心(行政、临床、神经病理学、神经成像、心理社会、教育)以及附属于ADCC的个别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中央数据库中，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中所有合作的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大小、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)促进通过互联网的信息交换，以及(2)引入、应用 开发新的统计方法，进行全面的数据分析。数据核心的具体目标是：1.继续提供其传统的数据管理和统计咨询服务，包括管理和更新中央中心数据库，提供实验设计和统计分析咨询，并在实施所有ADC的统一数据集方面与NACC保持密切合作。2.进一步开发和维护一个安全的基于Web的数据库，用于中心内和中心/NACC/其他合作者之间的多用户在线信息交流。特别是，我们将升级我们的视觉 FoxPro数据库服务器升级为更加网页友好、功能更强大的Microsoft SQL服务器。3.积极发起、发展、参与和指导我们内部和同事之间的统计分析 核心/中心。数据核心分析师(包括实习生)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。数据核心领导者每两周与核心分析师召开一次会议，并与NACC进行沟通以进行协作分析。4.对中心附属研究人员进行数据库利用和相关统计分析方法的培训。这将通过一个全面的内联网网站实现，该网站有详细的教育主题和在线帮助。

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.