Biostatistics Core (RC3)

总结 生物统计学核心（RC3）是Claude D. Pepper美国老年人 独立中心（OAIC）在佛罗里达大学（UF）。UF OAIC的使命有两个方面：1） 通过跨学科的方法来提高晚年的健康和独立性， 性能和流动性，以及2）培训新的调查人员在老龄化和残疾的研究，而 培养他们的领导素质。RC3是来自不同国家的科学家之间互动的关键齿轮。 完成这一使命的纪律。它提供研究设计和理论分析资源， 构建数据收集表格并管理临床前和临床试验的数据（包括提供质量控制） 以及在OAIC内进行的临床研究。 研究中心3参与了OAIC研究的所有阶段：初步提案前研究设计和样本量 计算、随机化和最先进的统计分析（一旦收集数据）。它还有助于 准备在研究界传播的手稿。此外，RC3还可作为 OAIC初级教师和初级学者的资源，提供咨询服务和定期的特殊兴趣 培训主题，如研究设计、功效分析、数据管理、研究实施和 管理、统计方法和分析。最后，对于OAIC研究， 生物统计方法是不够的，RC3已经聚集了强大的专业知识，开发新的 生物统计方法和数据管理工具超越目前的做法。RC3将开发新的 临床试验的适应性设计和同步统计推断的方法。这将提供 提供定制化支持，以满足OAIC研究设计和统计分析的需求。

SUMMARY The Biostatistics Core (RC3) is one of the four resource cores in the Claude D. Pepper Older Americans Independence Center (OAIC) at the University of Florida (UF). The mission of the UF OAIC is twofold: 1) to enhance late-life health and independence through interdisciplinary approaches to optimize physical performance and mobility, and 2) to train new investigators in research on aging and disability, while developing their leadership qualities. The RC3 is a key cog in the interaction among scientists from diverse disciplines to accomplish this mission. It provides research-design and statistical-analysis resources and helps construct data-collection forms and manage the data (including providing quality control) for both preclinical and clinical studies conducted within the OAIC. The RC3 is involved in all phases of the OAIC studies: initial pre-proposal study design and sample-size calculations, randomization, and state-of-the-art statistical analyses once the data are collected. It also helps prepare manuscripts for dissemination within the research community. In addition, the RC3 serves as a key resource to OAIC junior faculty and Junior Scholars, providing consulting services and periodic special-interest training topics, such as research design, power analysis, data management, study implementation and management, and statistical methodology and analyses. Finally, for OAIC studies where the existing biostatistical methodologies are inadequate, the RC3 has assembled strong expertise for developing new biostatistical methods and data-management tools beyond current practice. The RC3 will develop new methodology for adaptive design of clinical trials and simultaneous statistical inference. This will provide customized support that meets the demands of the OAIC's research design and statistical analyses.