Biostatistics and Research Information Systems Core

生物统计和研究信息系统核心

• 批准号: 9294904
• 负责人: STEPHEN B. KRITCHEVSKY
• 金额: $ 12.22万
• 依托单位: WAKE FOREST UNIVERSITY HEALTH SCIENCES
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/9294904
• 关键词: Address; Aging; Aging-Related Process; American; Area; Award; Baptist Church; Biometry; Brain; Capsicum; Clinic; Clinical; Clinical Data; Clinical Trials; Collaborations; Collection; Communities; Computerized Medical Record; Consent Forms; Data; Data Analyses; Data Collection; Decentralization; Development; Devices; Educational process of instructing; Enhancement Technology; Evaluation; Faculty; Fostering; Funding; Goals; Health Sciences; Image; Individual; Informatics; Information Systems; Informed Consent; Instruction; Intervention; Intervention Studies; Investigation; Knowledge; Lead; Learning; Machine Learning; Medical center; Mentors; Methods; Modeling; Monitor; Movement; Observational Study; Online Systems; Participant; Pathway interactions; Patients; Pilot Projects; Play; Psychometrics; Public Health; Publications; Questionnaires; Randomized; Recruitment Activity; Research; Research Design; Research Infrastructure; Research Personnel; Research Project Grants; Research Support; Resource Sharing; Role; Safety; Sample Size; Science; Source; Statistical Data Interpretation; Statistical Methods; Stream; System; Thinking; Training; Translating; Translations; analytical method; base; community setting; computerized data processing; data management; design; disability; forest; functional decline; genome wide association study; image archival system; improved; innovation; markov model; member; method development; next generation; novel; portability; prevent; statistics; success; tool; touchscreen

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.

项目概述（见说明）：WFU OAIC生物统计学和研究信息系统核心（BIC）的目标是在我们在生物统计学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，为老龄化研究量身定制。拟议的核心由一组高素质的调查人员/工作人员组成，他们在观察性、试点和干预性研究的设计和管理、集中和分散数据管理、表格设计和数据处理、图像存档、心理测量学、多个研究设计数据的统计分析、GWAS分析和新统计方法的开发方面具有专业知识。这些人致力于WFU OAlC的全球目标：(1)发现；(2)评估;(3)基于整合功能衰退的新途径，将干预措施转化为治疗和预防残疾；(4)培养下一代老龄化研究领域的领军人物。