Biostatistics and Research Information Systems Core

项目摘要(见说明)：WFU OAIC生物统计和研究信息系统核心(BIC)的目标是在我们在生物统计合作方面取得的巨大成功的基础上，开发更广泛的统计/信息学工具，这些工具是为老龄化研究量身定做的。拟议的核心由一组高素质的调查人员/工作人员组成，他们具有以下方面的专门知识：观察性、先导性和干预性研究的设计和管理、集中和分散的数据管理、表格设计和数据处理、图像存档、心理测量学、对来自多个研究设计的数据的统计分析、地理信息系统分析，以及开发新的统计方法。这些人致力于WFU OALC的全球目标：(1)发现；(2)评估；(3)基于整合新的功能衰退途径，将治疗和预防残疾的干预措施转化为干预措施；以及(4)培训老龄化研究的下一代领导者。 BIC的具体目标是： 1.作为WFU OAIC项目(4个试点研究(PES)、1个发展项目(DP)和8个外部资助项目(EP))的联合调查员，参与与OALC全球目标有关的项目。作为联合调查员，BIC成员将积极参与研究设计和实施(包括招募监测、随机化和安全监测)；确定样本量；数据管理；以及统计分析、解释和结果的陈述/发布。 2.在就老龄问题研究项目的设计、规划、实施和分析对非洲法律司资助的研究员和初级成员进行培训方面发挥不可或缺的作用。BIC还将扩展其在发现和评估方面的良好记录，具体目标为3-4，这些目标是： 3.为专门与老龄化研究相关的分析问题开发更多创新的生物统计学应用程序/方法。 4.开发创新的研究信息收集系统，以协助在老年参与者中开展研究，并将这些工具转化为社区和诊所环境，以支持WFU OAIC总体目标的目标3。

PROJECT SUMMARY (See instructions): The goal of the WFU OAIC Biostatistics and Research Information Systems Core (BIC) is to build upon our strong successes in biostatistical collaboration and to develop a broader class of statistics/informatics tools that are tailored to research in aging. The proposed Core is comprised of a team of highly qualified investigators/staff with expertise in the design and management of observational, pilot and interventional studies, centralized and decentralized data management, forms design and data processing, image archival, psychometrics, statistical analysis of data from multiple study designs, GWAS analyses, and development of novel statistical methods. These individuals are committed to the WFU OAlC's global aims to: (1) discover; (2) evaluate; and (3) translate interventions to treat and prevent disability based on integrating novel pathways of functional decline; and (4) train the next generation of leaders in aging research. The Specific Aims of the BIC are: 1. To participate as co-investigators for WFU OAIC projects (4 pilot studies (PES), 1 developmental projects (DP) and 8 externally funded projects (EPs)) related to OAlC's global aims. As co investigators, BIC members will be actively involved in study design and conduct (including recruitment monitoring, randomization, and safety monitoring); sample size determination; data management; and statistical analysis, interpretation and presentation/publication of results. 2. To play an integral role in training of OAlC-supported fellows and junior members of the BIC on the design, planning, conduct, and analysis of aging-related research projects. The BIC will also extend its strong record of discovery and evaluation with Specific Aims 3-4, which are to: 3. Develop additional innovative biostatistical applications/methods for analytical issues specifically associated with aging research. 4. Develop innovative research information collection systems to assist in carrying out studies in older participants and translate these tools into community- and clinic-based settings, in support of Aim 3 of the WFU OAIC overall goals.