Biostatistics Core

摘要 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） 通过跨学科方法提高晚年的流动性和独立性，以优化身体 性能和流动性，和2）培训新的研究人员在老龄化，流动性和独立性的研究， 同时发展他们的领导能力。RC3是科学家之间互动的关键齿轮， 不同的学科来完成这一使命。它提供研究设计和理论分析资源， 并帮助构建数据收集表格和管理数据（包括提供质量控制）， 在OAIC内进行的临床前和临床研究。 RC3参与了OAIC研究的所有阶段，并帮助进行初步的提案前研究设计， 样本量计算，制定数据收集的随机化计划，以及最先进的统计学 一旦收集到数据，就进行分析。它还有助于为研究传播准备手稿。在 此外，RC3是OAIC新教师和研究教育核心（REC）的关键资源 学者，为他们提供咨询服务和定期专题培训，如研究 设计、功效分析、数据管理、研究实施和管理以及基本统计 方法和工具。最后，对于现有生物统计方法不充分的OAIC研究， RC3已经聚集了强大的专业知识，用于开发新的生物统计方法和工具， 目前的做法。

Abstract 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 mobility and independence through interdisciplinary approaches to optimize physical performance and mobility, and 2) to train new investigators in research on aging, mobility, and independence, while developing their leadership abilities. 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, and it helps with initial pre-proposal study design and sample-size calculations, development of randomization plans for data collection, and state-of-the-art statistical analyses once the data are collected. It also helps with manuscript preparation for research dissemination. In addition, the RC3 serves as a key resource to OAIC new faculty and Research Education Core (REC) Scholars, by providing them consulting services and periodic special-interest trainings in topics, such as study design, power analysis, data management, study implementation and management, and basic statistical methods and tools. Finally, for OAIC studies where the existing biostatistical methodologies are inadequate, the RC3 has assembled strong expertise for developing new biostatistical methods and tools that are beyond the current practice.