DATA MANGEMENT AND STATISTICS CORE

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ADC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ADC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），为全国所有ADC创建一个通用数据库，并为纽约大学ADC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。快速 随着老龄化和痴呆症相关数据的规模、类型和复杂性的增加，需要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、应用和开发新的统计方法进行全面的数据分析。Data Core的具体目标是： 1.继续提供我们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方面的咨询，并与NACC在所有ADC的统一数据集（UDS）的实施和使用方面保持密切合作。 2.进一步开发和维持一个安全的网上数据库，该数据库符合纽约大学制定的机构标准，供中心内部以及中心、国家反腐败委员会和其他合作者之间进行多用户在线信息交流。我们正在升级我们的Visual FoxPro数据库服务器到一个现代化的基于网络的医疗保健管理软件（临床数据库加临床管理）Velos，由纽约大学赞助。 3.积极发起、开发、参与和指导我们的核心/中心内部和之间的统计分析。数据核心分析师（包括学员）被分配到其他核心，以增加相互的互动和理解，并促进ADC相关研究设计和ADC数据分析的密切合作。Data Core负责人每两周与Core分析师和对协作分析感兴趣的ADC研究人员举行一次会议。我们还积极参与研究论文的写作。 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。这一目标已经并将继续通过一个全面的互联网网站实现，该网站提供详细的教育主题和在线帮助以及每月的统计研讨会。 5.积极参与并领导赠款申请，以进一步提高数据核心的资金水平。

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 ADC. The Data Core maintains all data collected by the NYU ADC in a centralized database, transfers data to the National Alzheimer's Coordinating Center (NACC) to create a common database for all ADC's across the country, and offers consultation and hands-on help in experimental design and statistical analysis to all collaborating investigators in the NYU ADC. 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. Data Core Specific Aims are: 1. Continue to provide our 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 and utilization of the uniform data set (UDS) for all ADC's. 2. Further develop and maintain a secure Web-based database, conforming to the institutional standards set by NYU, for multi-user on-line information exchange within the Center and between Centers, NACC and other collaborators. We are upgrading our Visual FoxPro database server to a modern web-based health care management software (clinical database plus clinical management) ¿ Velos, sponsored by NYU. 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 mutual interactions and understanding, and foster close collaborations in the design of ADC related studies and the analysis of ADC data. Data Core leader conducts biweekly meetings with Core analysts and ADC researchers interested in collaborative analysis. We also actively participate in research paper writing. 4. Educate Center affiliated researchers on database utilization and related statistical analysis methods. This has been and will continuously be achieved through a comprehensive internet site with detailed education topics and on-line help as well as monthly statistics seminar. 5. Actively participate in as well as lead grant applications to further increase Data Core funding levels.