Data Management & Biostatistics

数据管理

• 批准号: 8287319
• 负责人: CHENGJIE XIONG
• 金额: $ 8.12万
• 依托单位: WASHINGTON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-30 至 2016-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8287319
• 关键词: Address; Adult Children; Alzheimer' s Disease; Bioinformatics; Biological Markers; Biometry; Biostatistics Core; Consult; Data; Data Analyses; Data Reporting; Data Set; Dementia; Disease Marker; Growth; Individual; Instruction; Lead; Participant; Pattern; Preparation; Prevention; Public Health; Publications; Quality Control; Resources; Schedule; Statistical Data Interpretation; Techniques; data management; design; programs

The Data Management and Biostafistics Core (DMBC) will serve as a resource and collaborator for all projects and cores related to this program project. Specifically the DMBC will: (1) consult on the design of all projects and in the application of appropriate stafistical and methodological techniques; (2) lead and collaborate in data analysis and report preparafion for all cores and projects, especially in the analysis of associafions among longitudinal growth/decline patterns of all disease markers across the individual projects; (3) coordinate and implement participant scheduling program across all projects and cores; (4) confinue our collaborafion with the WU Center for Biomedical Informafics (CBMI) to complete the transition to our bioinformatics platforms, make data collected by ACS cores and projects available to all ACS invesfigators, and insure the quality control of all analysis data sets for publications; (5) collaborate in the design of all forms to be used; (6) develop, apply, and implement stafisfical data analysis techniques appropriate for addressing the scientific aims of the program project.

数据管理和生物群核心（DMBC）将作为所有人的资源和合作者 与此计划项目相关的项目和核心。特别是DMBC将：（1）咨询所有人的设计 项目以及适当的定义和方法学技术的应用； （2）铅和 在数据分析和报告所有核心和项目的准备工作中合作，尤其是在分析中 所有疾病标记的纵向生长/下降模式之间的关联 项目； （3）在所有项目和核心上协调和实施参与者调度计划； （4） 将我们与WU生物医学Informafics（CBMI）的合作限制以完成过渡 在我们的生物信息学平台上，使ACS内核收集的数据和所有ACS可用的项目 InvesFigators，并确保出版物的所有分析数据集的质量控制； （5）合作 设计所有形式的设计； （6）开发，应用和实施适当的数据分析技术 适合解决该计划项目的科学目标。