CORE -- DATA AND METHODOLOGY

数据和方法核心：NPI生物统计核心（NPIStat，Jim Mintz，Ph.D.，加州大学洛杉矶分校神经精神研究所主任。NPIStat有六名兼职教师，四名教授，生物统计学家和其他支持人员，如统计程序员。另外两名不隶属于NPIStat核心的高级教员（一名来自生物统计学，另一名来自教育）已被招募，以提供高度专业化的统计数据。 作为该中心数据和方法核心的一部分，在其专业领域提供咨询。Mintz博士将是负责该中心核心的主要NPIStat教员。他将提供直接的咨询服务，监督其他人员，并根据需要与其他咨询学院进行联络。核心将为中心研究人员提供数据分析、新项目设计和正在进行的实验的持续咨询。核心将负责创建和维护中心的中央数据库，作为中心数据的存储库，并将提供必要的软件接口，使中心研究人员能够可靠地输入数据，方便地访问数据，并正确地分析数据。核心维持一个局域网，由NPIStat办公室的强大IBM兼容微型计算机和 项目办公室。该中心的数据管理系统将使所有相关评价和评估的数据能够迅速、准确地输入。这将为所有中心数据提供一个中央存储库，其中包括来自临床核心的研究数据和来自项目的汇总变量。集中的档案将随时可供定期编制报告，用于行政管理和持续的统计分析。一般而言，将使用SAS库进行数据管理和分析。SAS是一个全面的 数据库和统计软件库在生物医学研究中广泛使用。系统和数据完整性、系统安全性和患者保密性将优先考虑，并在整个中心研究过程中予以维护。

Data and Methodology Core: Primary responsibility for biostatistical and methodological consultation and basic data management and data analysis support for the Center projects will be provided by the NPI Biostatistics Core (NPIStat, Jim Mintz, Ph.D., Director) of the UCLA Neuropsychiatric Institute. NPIStat has six part-time faculty, four at the Professor level, biostatisticians and other support personnel such as statistical programmers. Two additional senior faculty members (one from Biostatistics and the other from Education) who are not affiliated with the NPIStat Core have been recruited to provide highly specialized statistical consulting in their areas of expertise as part of the Data and Methodology Core of this Center. Dr. Mintz will be the primary NPIStat faculty member who is responsible for this Center Core. He will provide the direct consulting services, supervise other personnel, and be a liaison to other consulting faculty as required. The Core will provide ongoing consultation to Center researchers on data analysis, design of new projects, and conduct of ongoing experiments. The Core will responsible for creating and maintaining the Center's centralized database as a repository of Center data, and will provide requisite software interfaces to enable Center researchers to enter data reliably, access it readily, and analyze it properly. The Core maintains a local area network of powerful IBM-compatible microcomputers in the NPIStat offices and desktop computers in the project offices. The Center's data management system will enable the rapid and accurate entry of data from all relevant evaluations and assessments. This will provide a central repository for all Center data, which includes the research data from the Clinical Cores and summary variables from the projects. The centralized files will be ready for periodic report generation for administrative purposes and ongoing statistical analysis. In general, data management and analysis will be performed using the SAS library. SAS is a comprehensive database and statistical software library in wide use in biomedical research. System and data integrity and system security and patient confidentiality will be given priority and maintained throughout the Center research.