Biostatistics, Epidemiology, and Research Design

生物统计学、流行病学和研究设计

• 批准号: 10684633
• 负责人: Yiliang Zhu
• 金额: $ 99.62万
• 依托单位: UNIVERSITY OF NEVADA LAS VEGAS
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-15 至 2024-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10684633
• 关键词: Address; Area; Bioinformatics; Biometry; Biostatistical Methods; Biostatistics Core; Clinical Research; Collaborations; Consultations; Data; Data Analyses; Data Analytics; Data Collection; Databases; Development; Ensure; Epidemiologist; Epidemiology; Funding; Goals; Grant; Harvest; Health Disparities Research; Infrastructure; Institution; Knowledge; Life Cycle Stages; Methodology; Minority Groups; Names; Network Infrastructure; New Mexico; Online Systems; Pilot Projects; Population; Publications; Research; Research Design; Research Methodology; Research Personnel; Research Priority; Research Project Grants; Research Support; Resources; Rural Population; Science; Services; Site; System; Technical Expertise; Time; Training; Translational Research; Underserved Population; Universities; analytical method; data acquisition; data resource; experience; health disparity; investigator training; member; model design; novel; operation; public database; response; skills; tool; trend

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.

项目总结/摘要 生物统计学，流行病学和研究设计（BERD）核心是一个必要的组成部分， 西部山区临床和转化研究基础设施网络（MW CTR-IN）。Berd 为CTR-IN内的临床和转化研究提供必要的数据分析支持 在七个西部山区州的13所公立大学的网络。由13个网络组成 研究中心，BERD通过确保有效的研究，在整个生命过程中支持研究项目 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，重点支持对健康差距的多地点研究， 利用国家数据库和生物信息学的区域和支持研究。BERD将 通过一系列具体目标和相关活动实现其目标： 1.继续在生物统计方面提供可获得的高质量服务和合作， 流行病学和研究设计的研究人员在整个13个成员机构， MW CTR-IN。BERD将推广设计到传播（D2 D）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， 从而增强团队科学性。 2.扩大数据协调能力并提供技术援助，以支持 多中心研究扩展中的跨中心数据需求。这一举措将付诸实施， 无缝实施数据收集、管理、分析和传播， 支持优先研究，如健康差距。 2a.提供利用大学目前运作的数据协调能力的机会， 新墨西哥州（UNM）和技术援助，以帮助扩大和利用数据协调 其他MW CTR-IN站点已有基础设施。 2b.开发和应用专门的研究设计、工具和生物统计方法， 当前和新兴研究带来的挑战。 3.提供培训，传播当前和传统的生物统计学，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.新兴的优先研究，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。