Michigan Center for Urban African American Aging Research - Analysis Core (AnC)

分析核心（AnC）摘要 分析核心（AnC）的首要目标是支持对社会和行为的创新研究。 卫生不公平现象背后的过程，并对初级调查人员进行工具和方法培训， 提高他们的研究的严谨性，以产生有关老年人健康和福祉的有意义的见解 非裔美国人非国大的目标有两个。第一个目标是提供MCUAAAR 科学家，HBCU附属机构和中心教师与必要的方法和分析工具， 以透明的方式开展并完成试点项目和与RCMAR相关的研究， 严谨这一目标包括提供培训、咨询和后勤支助， 研究设计、数据收集和数据分析的方法，以及（B）NIH在严谨性和 重现性，包括研究预登记、编码和文件以及数据共享。第二 目标是通过一个主题， 以生物心理社会模式为基础的个案培训框架。总的来说，这些目标旨在 产生新的科学见解和方法，以减少卫生方面的不平等， 非裔美国人的幸福生活。AnC拥有支持广泛的 项目范围（即，主要数据收集，次要数据分析，混合方法设计，高级 统计技术和机器学习工具），并为科学家提供了一个论坛， 接触来自广泛学科方向的方法。Anc的目标是利用长期- 与其他MCUAAAR核心、NIA网络、NIH和 大学中心，组织合作伙伴，以及UM，WSU和MSU的计划， 致力于应用社会和行为科学，并指导初级研究人员。我们完全期待， 根据我们先前的互动，AnC开发的分析方法和培训工具将 在MCUAAAR内与RCMAR协调中心以及NIA和NIH合作中心共享， 组织合作伙伴，HBCU附属机构和更广泛的科学界。

Analysis Core (AnC) Abstract The overarching goals of the Analysis Core (AnC) are to support innovative research into social and behavioral processes underlying health inequities, and to train junior investigators on the tools and approaches that will enhance the rigor of their research to generate meaningful insights regarding the health and well-being of older African Americans. The objectives of the AnC are twofold. The first objective is to provide MCUAAAR Scientists, HBCU affiliates, and Center faculty with the methodological and analytical tools necessary to conduct and complete pilot projects and RCMAR-related research in a manner that is both transparent and rigorous. This objective involves providing training, consultation, and logistical support in (a) state-of-the-art approaches to study design, data collection, and data analysis, and (b) NIH best-practices in rigor and reproducibility, including study pre-registration, coding and documentation, and data sharing. The second objective is to embed collaborative, interdisciplinary team science into research practice through a thematic, case-based training framework informed by the biopsychosocial model. Collectively, these objectives seek to generate novel scientific insights and methodological approaches to reduce inequities in health and promote well-being of African Americans over the life course. The AnC has expertise and experience supporting a wide range of projects (i.e., primary data collection, secondary data analysis, mixed-methods designs, advanced statistical techniques, and machine learning tools) and provides a forum for Scientists to gain meaningful exposure to methods from a wide range of disciplinary orientations. The AnC objectives leverage long- standing, mutually-beneficial relationships with the other MCUAAAR Cores, networks of NIA, NIH and University centers, organizational partners, and initiatives at UM, WSU, and MSU that have a shared commitment to applied social and behavioral science and to mentoring junior investigators. We fully expect, based on our prior interactions, that the analytic methods and training tools developed by the AnC will be shared within the MCUAAAR, with the RCMAR Coordinating Center and NIA and NIH collaborating centers, organizational partners, HBCU affiliates, and the broader scientific community.