Statistics and Data Management

统计和数据管理核心，作为UCSD SPOTRIAS中心的集中资源， 提供研究设计和数据管理，质量控制和分析的专业知识，为整个中心的 急性中风的转化研究核心小组的生物统计职责包括： 每个临床试验方案和研究项目的实验设计;开发和生成 每项研究的随机化序列;对以下各项进行中期、初步和最终统计分析 研究数据;协助编写报告和出版物。 所有UCSD SPOTRIAS中心研究数据均通过Core A进行管理。数据采集的各个方面 流程，包括病例报告表的设计、集中患者数据文件的维护和生产 专门用途和例行统计报告的积累数据，是通过数据协调 核心业务的管理。核心的计算环境由大约9个 工作站连接在客户端-服务器架构，使用TCP/IP局域网（LAN）， 服务器（Web、数据和存档）。网络被防火墙保护着。进行数据管理 通过PostgreSQL和Mysql关系数据库管理系统。 统计和数据管理核心的质量保证方案范围广泛， 全面。虽然所有研究数据的计算机化实时监测是主要和基本的， 覆盖范围扩展到研究启动、项目研究者和支持人员的数据输入培训，以及 文档开发和制作（例如，培训手册、程序手册、通讯）。数据 通过在输入时和纵向进行的编辑检查来分发条目。

The Statistics and Data Management Core, as a centralized resource of the UCSD SPOTRIAS Center, provides expertise in study design and data management, quality control, and analysis for the entire Center's translational acute stroke research. The biostatistical responsibilities of the Core include collaborating on the experimental design of every clinical trial protocol and research project; developing and generating the randomization sequence for each study; performing interim, preliminary, and final statistical analyses on study data; and assisting with the preparation of reports and publications. All UCSD SPOTRIAS Center study data are managed through Core A. Every aspect of the data capture process, including design of case report forms, maintenance of centralized patient data files, and production of special purpose and routine statistical reports on accumulating data, is coordinated through the data management operations of the Core. The Core's computing environment consists of approximately 9 workstations connected in a client-server architecture, using TCP/IP local area network (LAN) with three servers (web, data, and archive). The network is secured behind a firewall. Data management is conducted through the PostgreSQL and Mysql relational database management systems. The quality assurance (QA) program of the Statistics and Data Management Core is extensive and comprehensive. While computerized, real-time monitoring of all study data is primary and fundamental, QA coverage extends to study initiation, project investigator and support staff training in data entry, and document development and production (e.g., training manuals, manuals of procedures, newsletters). Data entry is distributed with edit checking conducted both at the time of entry and longitudinally.