Biostatistics, Epidemiology, and Research Design

项目摘要/摘要 生物统计学、流行病学和研究设计(BERD)核心是 西部山区临床和转化研究基础设施网络(MW CTR-IN)。伯德 为CTR-IN内的临床和翻译研究提供必不可少的数据分析支持 由西部山区七个州的13所公立大学组成的网络。由13个人组成的网络组成 网站，BERD通过确保有效的研究来支持研究项目的整个生命周期 设计、适当的数据采集、有效的数据分析和客观的数据解释 同时继续通过培训和发展扩大其技术能力。特别是 BERD将扩大其能力，专注于支持对中国健康差距的多点研究 区域和支持利用国家数据库和生物信息学的研究。伯德会的 通过一系列具体目标和相关活动实现其目标： 1.继续在生物统计领域提供可获得的、高质量的服务与合作， 流行病学和研究设计向13个成员机构的调查人员提供 MW CTR-IN。BERD将宣传设计到传播(D2D)的模式 在研究项目的整个生命周期中加强与研究人员的接触， 从而提高团队科学性。 2.扩大数据协调能力，提供技术援助，以支持 跨站点数据在扩展多站点研究中的需求。这一倡议将付诸实施 无缝实施数据收集、管理、分析和传播，以 支持健康差距等重点研究。 2A。提供对目前在华盛顿大学运行的数据协调能力的访问 新墨西哥(UNM)和技术援助，以帮助扩大和利用数据协调 其他兆瓦CTR-IN站点已有基础设施。 2B。开发和应用专门的研究设计、工具和生物统计学方法来解决 当前和新兴研究带来的挑战。 3.提供培训，以传播当前和经典的生物统计数据，以应对新出现的 MW CTR-IN的需求，特别是与以下方面相关的需求： 3A.新出现的重点研究，如健康差距。 3B.在BERD内利用大型数据库和生物信息学的技术能力。

PROJECT SUMMARY / ABSTRACT The Biostatistics, Epidemiology, and Research Design (BERD) core is a required component of Mountain West Clinical and Translational Research Infrastructure Network (MW CTR-IN). BERD provides data analytic support essential to clinical and translational research within the CTR-IN network of 13 public universities in seven mountain west states. Consisting of a network of 13 sites, BERD supports research projects throughout their life course by ensuring valid study designs, appropriate data acquisition, effective data analyses, and objective data interpretation while continues to expand its technical capacity through training and development. In particular BERD will expand its capacity to focus on supporting multisite studies of health disparities in the region and supporting studies that leverage national databases and bioinformatics. BERD will achieve its goal through a list of specific aims and associated activities: 1. Continue to provide accessible, high-quality services and collaboration in biostatistics, epidemiology, and research design to investigators throughout the 13 member institutions of the MW CTR-IN. BERD will campaign the model of Design-to-Dissemination (D2D) to enhance engagement with investigators throughout the life course of a research project, thereby enhancing team science. 2. Expand the capacity of, and provide technical assistance in, data coordination to support cross-site data needs in the expansion of multisite studies. This initiative will operationalize seamless implementation of data collection, management, analyses, and dissemination to support priority research such as health disparities. 2a. Offer access both to data coordinating capacity currently in operation at the University of New Mexico (UNM) and to technical assistance to help expand and leverage data coordinating infrastructure already existing at other MW CTR-IN sites. 2b. Develop and apply specialized study designs, tools, and biostatistical methods to address challenges arising from current and emerging studies. 3. Provide training to disseminate current and classical biostatistics in response to emerging needs at the MW CTR-IN, particularly those related to: 3a. Emerging priority research such as health disparities. 3b. Technical capacity for leveraging large databases and in bioinformatics within BERD.