Analysis Core

项目摘要 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的目标是提供出色的培训和职业生涯 发展机会，以有前途的调查员从代表性不足的背景，并进行 创新和有影响力的跨学科社会和行为研究，解决疼痛和残疾， 老年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， 实现目标。分析核心提供研究设计和统计分析资源， 协助建立数据收集表格和数据管理（包括质量控制）， 在RCMAR内进行的研究。核心参与这些研究的所有阶段，包括初始阶段 研究设计和样本量计算预建议、随机化和最新统计分析 一旦数据收集完成。分析核心也参与了手稿的准备工作 在研究界传播。此外，该核心是RCMAR的关键资源 学者，提供咨询服务和定期特殊兴趣课题培训，如研究设计， 功效分析、数据管理、研究实施和管理以及统计方法学， 分析。最后，对于现有生物统计方法不充分的RCMAR研究， 已经为开发新的生物统计方法和数据管理工具聚集了强大的专业知识 超越最先进的技术水平，提供满足研究设计需求的定制支持， 中心的统计分析。

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.