Biostatistics Core

摘要 生物统计核心(RC3)是克劳德·D·佩珀老年美国人的四个资源核心之一 佛罗里达大学独立中心(OAIC)。UF OAIC的使命有两个：1) 通过跨学科的方法来优化身体状况，提高晚年的流动性和独立性 性能和机动性，以及2)培训新的研究人员，研究衰老、机动性和独立性， 同时发展他们的领导能力。RC3是科学家之间相互作用的关键齿轮 不同的学科来完成这项任务。它提供研究设计和统计分析资源， 并帮助构建数据收集表单和管理数据(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OAIC研究的所有阶段，并有助于初步的建议前研究设计和 样本量计算、数据收集随机化计划的制定和最先进的统计 一旦收集到数据，就会进行分析。它还有助于为研究传播准备手稿。在……里面 此外，RC3是OAIC新教师和研究教育核心(REC)的关键资源 学者，通过为他们提供咨询服务和定期的特殊兴趣培训，例如学习 设计、电源分析、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足的伊斯兰会议组织的研究， RC3已经集合了强大的专业知识来开发超越的新的生物统计学方法和工具 目前的做法是。

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.