Analysis Core

项目总结 分析核心(ANC)是少数民族老龄化研究资源中心(RCMAR)的四个核心之一 在佛罗里达大学。UF RCMAR的目标是提供卓越的培训和职业生涯 为来自任职人数不足的背景的有前途的调查人员提供发展机会 创新和有影响力的跨学科社会和行为研究，解决以下问题 上了年纪的人。分析核心是来自不同学科的科学家之间互动的关键齿轮 完成目标。分析核心提供研究设计和统计分析资源，以及 协助构建数据收集表格和数据管理(包括质量控制) 这些研究是在RCMAR内进行的。核心参与了这些研究的所有阶段，包括初步研究 研究设计和样本量计算建议前、随机化和最新的统计分析 一旦数据收集完成。分析核心还参与了手稿的准备工作 以便在研究界内传播。此外，核心是RCMAR的关键资源 学者，提供咨询服务和定期专题培训，如研究设计， 电力分析、数据管理、研究实施和管理以及统计方法和 分析。最后，对于现有生物统计学方法不足的RCMAR研究，核心 为开发新的生物统计方法和数据管理工具积累了强大的专业知识 超越最先进水平，提供满足研究设计和需求的定制支持 在中心进行统计分析。

PROJECT SUMMARY The Analysis Core (AnC) is one of the four cores in the Resource Center for Minority Aging Research (RCMAR) at the University of Florida. The objectives of the UF RCMAR are to provide outstanding training and career development opportunities to promising investigators from underrepresented backgrounds and to conduct innovative and impactful transdisciplinary social and behavioral research addressing pain and disability among older adults. The Analysis Core is a key cog in the interaction among scientists from diverse disciplines to accomplish the objectives. The Analysis core provides research design and statistical analysis resources, and assists in the construction of data collection forms and the management of the data (including quality control) for the studies conducted within the RCMAR. The core is involved in all phases of these studies including initial study design and sample size calculations pre-proposal, randomization, and state-of-the-art statistical analyses once the data collections are completed. The Analysis Core is also involved in the preparation of manuscripts for dissemination within the research community. In addition, the Core serves as a key resource to the RCMAR scholars, providing the 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 RCMAR studies where the existing biostatistical methodologies are inadequate, the Core has assembled strong expertise for the development of new biostatistical methods and data management tools beyond the state of the art to provide customized support that meets the demands of research design and statistical analyses in the center.