Methods and Measurement Core

方法和测量核心摘要 方法和测量（M&M）核心的使命是帮助研究者设计研究，收集 数据，并分析数据，以检查与糖尿病的原因，预防和控制相关的问题， 并发症和合并症。M&M核心通过咨询和 协作，领导正在进行的工作会议，开发和维护集中资源，并进行 工作坊.为了创造规模经济和利用其他资源，M&M核心的活动是 与其他UM中心和研究所协调，提供全面的方法来支持翻译 糖尿病的研究 M&M核心的具体目标是： 1.就行为、临床和健康的设计、数据收集和统计分析提供咨询 系统相关的转化研究，重点是原因，预防和控制 糖尿病及其并发症和合并症。 2.进行先进的生物统计分析，模拟和数据管理与合作 资助的调查员。 3.为了便于使用密歇根糖尿病模型来评估 并严格评估成本效益。 4.支持糖尿病研究者的沟通、协作和资源 翻译研究，包括开发和维护基于网络的资源， 内部使用和外部传播。 核心人员包括掌握流行病学方法、调查方法、心理测量方法和心理学方法的人员。 测量;质量测量和实践剖析;管理、合并和 分析大型行政和临床数据库;先进的生物统计分析和经济 建模

Methods and Measurement Core Abstract The Methods and Measurement (M&M) Core's mission is to assist investigators to design studies, collect data, and analyze data to examine questions related to the causes, prevention, and control of diabetes, its complications, and comorbidities. The M&M Core supports investigators through consultation and collaboration, leads work-in progress sessions, develops and maintains centralized resources, and conducts workshops. In order to create economies of scale and leverage other resources, the M&M Core's activities are coordinated with other UM Centers and Institutes to provide a comprehensive approach to support translational research in diabetes. The Specific Aims of the M&M Core are: 1. To consult on the design, collection of data, and statistical analysis of behavioral, clinical, and health systems-related translational research studies focused on the causes, prevention and control of diabetes, its complications, and comorbidities. 2. To conduct advanced biostatistical analyses, simulations, and data management in collaboration with funded investigators. 3. To facilitate the use of the Michigan Model for Diabetes to evaluate the cost and health utilities of interventions and to rigorously assess cost-effectiveness. 4. To support communication, collaboration and resources for investigators working on diabetes translational research, including the development and maintenance of web-based resources for both internal use and extramural dissemination. The Core includes personnel with skills in epidemiologic methods; survey methodology; psychometric measurement; quality measurement and practice profiling; technical aspects of managing, merging, and analyzing large administrative and clinical databases; and advanced biostatistical analysis and economic modeling.