Analysis Core-MCUAAAR

分析核心摘要 分析核心(ANC)的总体目标是支持对过程的创新调查 和导致卫生不平等和差异的机制，并制定干预措施，以改善 老年非裔美国人的健康和福祉。非国大有四个目标：1)提供初级 研究人员和MCUAAAR教职员工进行研究所需的暴露和方法工具 成功的试点项目和支持中心活动；2)将生物、心理和社会生命历程框架应用于 制定新的测量策略和最先进的测量、数据收集和 分析；3)促进和促进NIA/NIH之间的跨机构和跨学科合作 中心和研究所以及新成立的MCUAAAR内部资源小组(IRG) 密歇根州领先的研究型大学；以及，4)开发和测试解决种族问题的新方法 少数民族人群的健康差距。非国大将与行政核心(AC)合作，并利用 MCUAAAR研究教育部分(REC)和社区联络与招募核心(CLRC) 参与者池以及其他社区和机构资源，以协同加强 整体中心的活动。非国大建立在两个主要优势的基础上，一个杰出的教职员工 代表了广泛的方法和分析专门知识，并有机会获得特殊的机构间 数据资源、计算能力和研究基础设施(例如，HRS和密歇根研究所 数据科学(MIDAS))。这些资源有助于采取多层次、综合的方法来支持和培训 初级调查人员，并制定成功调查生物学、 心理、社会进程在一个生命过程框架内造成了差异。深度和广度 确保MCUAAAR调查人员在以下方面获得资源和专业知识 测量、统计方法、抽样技术、复杂的调查设计、定性数据收集和 分析方法，新的和现有数据的混合方法策略，遗传和表观遗传分析，以及 “大数据”的信息科学。有三个具体目标：1)提供领导和结构，以 支持MCUAAAR研究人员和MCUAAAR教职员工；2)应用生物心理社会方法 在研究设计、数据收集(定性和定量)、测量工具和 调查非裔美国人一生健康状况的分析技术；以及，3)与 NIA/NIH的其他中心和研究所通过(IRG)开发和测试新的方法和分析工具。

Analysis Core Abstract The overarching goals of the Analysis Core (AnC) are to support innovative investigations into the processes and mechanisms underlying health inequities and disparities, and to develop interventions to improve the health and well-being of older African Americans. There are four objectives of the AnC: 1) provide junior research investigators and MCUAAAR faculty the exposure and methodological tools necessary for conducting successful pilot projects and supporting Center activities; 2) apply a biopsychosocial life-course framework to generate novel measurement strategies and state-of-the-art techniques for measurement, data collection and analysis; 3) facilitate and promote cross-institutional and interdisciplinary collaborations between NIA/NIH Centers and Institutes and the newly-formed MCUAAAR Internal Resources Group (IRG) across the three leading research universities in Michigan; and, 4) develop and test novel methodologies for addressing ethnic minority population health disparities. The AnC will work with the Administrative Core (AC) and leverage the MCUAAAR Research Education Component (REC) and Community Liaison and Recruitment Core (CLRC) Participant Pool, as well as other community and institutional resources, to synergistically enhance the activities of the overall Center. The AnC builds on two principle strengths, an outstanding faculty that represents a breadth of methodological and analytical expertise, and access to exceptional inter-institutional data resources, computational capability, and research infrastructure (e.g. the HRS and Michigan Institute for Data Science (MIDAS)). These resources contribute to a multi-level, integrated approach to support and train junior investigators, and to develop the strategies needed to successfully investigate the biological, psychological, and social processes driving disparities within a life-course framework. The depth and breadth of the AnC faculty ensures that MCUAAAR investigators will have access to resources and expertise in measurement, statistical methods, sampling techniques, complex survey design, qualitative data collection and analytic methods, mixed methods strategies for new and existing data, genetic and epigenetic analysis, and information science for “big” data. There are three specific aims: 1) Provide the leadership and structures to support MCUAAAR research investigators and MCUAAAR faculty; 2) Apply a biopsychosocial approach to develop novel strategies in study design, data collection (qualitative and quantitative), measurement tools, and analytic techniques for investigating the health of African American over the life-course; and, 3) Work with other NIA/NIH Centers and Institutes through the (IRG) to develop and test novel methods and analytic tools.