Biostatistics & Biomedical Informatics Core

生物统计学/生物医学信息学-项目总结 正确的研究设计、数据收集、统计分析和工具开发是必不可少的 高质量的艾滋病研究。田纳西州艾滋病中心的目标是 研究（TN-CFAR）生物统计学和生物医学信息学核心（BBIC）是为了提高 艾滋病毒/艾滋病研究的质量。BBIC将提供统计和生物医学信息学 支助范德比尔特大学梅哈里医学院艾滋病毒/艾滋病调查人员 (VU)田纳西州卫生部（TDH）。具体支持包括每周 生物统计学/生物医学信息学步入式诊所在3个机构之间轮换位置， 最大限度地提高曝光率和使用率，并在 获奖者的提交和有保证的统计/生物医学信息学覆盖范围，以及 与TN-CFAR调查人员积极合作。我们还建议开发新的资源， 工具和方法，以加强艾滋病毒/艾滋病的研究，在参与机构和超越。 作为一项重大举措，BBIC将链接TDH的数据库，创建一个研究准备临床 数据库，并协调这些数据库与现有的数据库在范德比尔特， 将允许在TN-CFAR中进行综合艾滋病毒研究。BBIC还将开发工具， 数据协调和记录计数，以允许跨分布式系统进行高效的实时查询 数据库，并开发统计方法，将验证数据的子集纳入 估计。最后，BBIC将通过积极参加研讨会和 期刊俱乐部，赞助生物统计学/生物医学信息学研讨会，并提供主题- 在无需预约的诊所接受具体指导。BBIC团队拥有广泛的艾滋病毒研究经验， 包括在艾滋病毒感染者的大型队列的协调中心的领导作用， 与艾滋病毒研究人员的广泛合作，以及开发新的 方法和工具的动机和有益于艾滋病毒的研究。

Biostatistics/Biomedical Informatics – PROJECT SUMMARY Thoughtful study design, data collection, statistical analysis, and tool development are essential to high quality HIV/AIDS research. The over-arching goal of the Tennessee Center for AIDS Research (TN-CFAR) Biostatistics and Biomedical Informatics Core (BBIC) is to elevate the quality of HIV/AIDS research. The BBIC will provide statistical and biomedical informatics support to HIV/AIDS investigators at Meharry Medical College (MMC), Vanderbilt University (VU), and the Tennessee Department of Health (TDH). Specific support includes a weekly biostatistics/biomedical informatics walk-in clinic rotating its location between the 3 institutions to maximize exposure and usage, consultation for all Development Core Award applicants prior to submission and guaranteed statistics/biomedical informatics coverage for award recipients, and active collaboration with TN-CFAR investigators. We also propose to develop novel resources, tools, and methods to enhance HIV/AIDS research at the participating institutions and beyond. As a major initiative, the BBIC will link databases at TDH, create a research-ready clinical database at MMC, and harmonize these databases with existing databases at Vanderbilt that will permit integrated HIV research across the TN-CFAR. The BBIC will also develop tools for data harmonization and record counting to allow efficient real-time queries across distributed databases, and develop statistical methods that incorporate subsets of validated data into estimation. Finally, the BBIC will support training by actively participating in seminars and journal clubs, sponsoring biostatistics/biomedical informatics seminars, and providing topic- specific instruction at walk-in clinics. The BBIC team has broad HIV research experience, including leadership roles in coordinating centers for large cohorts of HIV-infected patients, extensive collaborations with HIV investigators, and proven track records of developing novel methods and tools motivated by and beneficial to HIV research.