Core C - Data Management and Statistics

数据管理和统计核心项目摘要/摘要 数据管理和统计核心为科研提供数据库管理和统计支持 在马萨诸塞州ADRC(MADRC)内进行的，包括当地研究项目，如#年的项目1、2和3 这项拨款续期申请，以及与其他ADC和国家AD研究计划的合作努力。 该核心旨在通过参与合作来促进AD的基础科学、临床和翻译研究 与主题研究人员合作，其中我们开发高效的研究设计，并实施和开发最优 分析方法；以及通过协作软件开发、数据管理和基于Web的 协作和沟通方式。核心致力于研究设计和分析方法的创新，旨在 在临床试验和观察中确保时间、对象和其他资源的有效性、不偏不倚和最佳利用 学习。在数据管理方面，我们已经从中心的CBASE系统过渡到多中心 LAVA临床研究管理系统，用于所有UDS数据管理任务。熔岩将在 未来一段时间，处理临床和神经病理核心收集的全部数据，以及总结 神经成像核心的描述性和索引性数据。我们将继续合作并支持 跨多个中心实施基于熔岩的共享软件开发的创新举措。核心目标 教育各级研究人员，包括本科生、博士生和博士后研究员 生物统计学和流行病学，神经学和相关领域的MD研究员，以及教职员工级别的临床医生科学家。这 教育包括关于实验设计和数据分析的统计原理的非正式指导，正式 指导研究项目，并在基于网络的方案方面与外联和行政核心密切合作。 统计从最初开始为MADRC和MADRC附属的研究和试点项目提供咨询 研究目标、终点和设计的概念，以及它们的监测和最终分析。数据管理 与中心的每个组件交互。与临床核心的合作尤其密切，该中心 将定期收集的关于所有LC受试者的系统数据输入、核实和维护到熔岩数据库，包括 UDS测试结果集。然后，我们将UDS数据提交给NACC。我们还协助MADRC调查人员 数据库查询、数据提取和统计分析。这与神经病理核心也有类似的关系， 提交生物标记物和尸检数据；我们将尸检结果提交给NACC。我们计划接收、管理和 存储来自新的神经成像核心的信息。数据和统计核心起着粘合剂的作用 其他核心一起，并履行行政核心的任务，以确保一个顺利运作的研究中心。 我们的总体目标是为阿尔茨海默病和其他正在进行的活动提供资源 作为神经退行性疾病的研究和技术开发活动的领导者。

DATA MANAGEMENT AND STATISTICAL CORE PROJECT SUMMARY/ABSTRACT The Data Management and Statistics Core provides the database management and statistical support for research conducted within the Massachusetts ADRC (MADRC), including local research projects such as Projects 1, 2 & 3 in this grant renewal submission, and collaborative efforts with other ADCs and with national AD research initiatives. The Core aims to catalyze basic science, clinical and translational research in AD by participating in collaborations with subject-matter researchers, in which we develop efficient study designs, and implement and develop optimal analytic methods; as well as through collaborative software development, data management and web-based collaboration and communication methods. The Core aims to innovate in study design and analytic methods, aiming for validity, unbiasedness, and optimal use of time, subjects, and other resources in clinical trials and observational studies. In data management, we have already transitioned from the Center's CBASE system to the multi-center LAVA Clinical Research Management System, for all UDS data management tasks. LAVA will be customized in the coming period to handle the entirety of data collected in the Clinical and Neuropathology Cores, as well as summary descriptive and indexing data from the Neuroimaging Cores. We will continue to collaborate in and support an innovative move across several centers to implement shared software development based on LAVA. The Core aims to educate researchers at all levels, including undergraduates, doctoral students, and post-doctoral fellows in Biostatistics and Epidemiology, MD fellows in Neurology and allied fields, and faculty level clinician scientists. This education encompasses informal instruction on statistical principles of experimental design and data analysis, formal mentoring on research projects, and close collaboration with the Outreach and Admin Cores on Web based programs. Statistics provides consultation for MADRC and MADRC-affiliated Research and Pilot Projects, from the initial conception of the study goals, endpoints and designs, to their monitoring and final analyses. Data Management interacts with each component of the Center. The collaboration is particularly close with the Clinical Core, which enters, verifies and maintains systematic data collected regularly on all LC subjects into the LAVA database, including the UDS set of test results. We then submit the UDS data to NACC. We also assist MADRC investigators with database queries, data extraction and statistical analyses. There is a similar relation with the Neuropathology Core, which submits biomarker and autopsy data; we forward autopsy findings to NACC. We plan to receive, manage and store information from the new Neuroimaging Core. The Data and Statistics Core functions as the glue that binds other Cores together, and fulfills the Administrative Core's mandate of ensuring a smooth functioning research center. It is our overall aim to serve both as a resource for ongoing activities in Alzheimer's disease and other neurodegenerative diseases and as a leader in both research and technical development activities.