CAP - Consortium to Alleviate PTSD - STVHCS Data and Statistics Core

CAP - 减轻 PTSD 联盟 - STVHCS 数据和统计核心

• 批准号: 9113474
• 负责人: ALAN L PETERSON
• 金额: --
• 依托单位: SOUTH TEXAS VETERANS HEALTH CARE SYSTEM
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-01 至 2019-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9113474
• 关键词: Adverse event; Alcohol or Other Drugs use; Algorithms; Alzheimer' s Disease; Biological Markers; Biometry; Biostatistics Core; Cellular Phone; Characteristics; Clinical; Clinical Research; Clinical Trials; Complex; Computers; Consult; Consultations; Data; Data Analyses; Data Quality; Data Storage and Retrieval; Databases; Development; Diagnosis; Diagnostic; Ensure; Epidemiology; Etiology; Exposure to; Funding; Genomics; Goals; Headache; Institutes; Institution; Internet; Mental Depression; Mental Health; Methods; Modeling; Neurobiology; Pain; Participant; Personal Satisfaction; Post-Traumatic Stress Disorders; Prevention; Prevention strategy; Preventive treatment; Procedures; Proteomics; Psychiatry; Public Health Schools; Randomized; Records; Rehabilitation therapy; Reporting; Research; Research Design; Research Infrastructure; Research Personnel; Research Project Grants; Risk Assessment; Sample Size; Scanning; Schedule; Scheme; Seasons; Services; Sleep disturbances; Source; Speed; Statistical Data Interpretation; Statistical Methods; Stream; Stress; Suicide; System; Tablets; Training; Trees; Validation; Veterans; adjudication; base; behavioral health; career; combat; data management; experience; handheld mobile device; improved; innovation; member; model development; multidisciplinary; neuroimaging; novel; outcome forecast; physical conditioning; post-traumatic stress; posters; prevent; prognostic; repository; research and development; statistics; success; symposium; tool

Data Management and Biostatistics Core The objectives of the Data Core are to facilitate high-quality research by (1) organizing and maintaining the Consortium, Repository, and project databases to maximize accessibility while maintaining strict confidentiality; (2) developing and maintaining on-line data entry systems and other computer-based tools that facilitate the entry, storage, manipulation, and retrieval of data generated by each project as well as project management; (3) developing and applying modern statistical methods for the analysis of Consortium data (4) providing methodological consultation in research design and biostatistical planning, (5) administering the STRONG STAR Data Repository. Dr. Mintz has been Director of the STRONG STAR Data Core since the inception of the Consortium. He will be joined by Dr. Ralitza Geugorguieva of the Yale School of Public Health. Dr. Mintz, jointly appointed in Epidemiology/Biostatistics, also serves as Director of the Psychiatry Department's Biostatistics Core. Dr. Mintz is a seasoned research methodologist and applied biostatistician, with over four decades of experience collaborating in clinical research and directing data and statistics cores. During his career at UCLA Psychiatry, he directed the Semel Institute Biostatistics Core and the Data and Statistics Cores of the VISN 22 MIRECC and the UCLA Alzheimer's Center. Dr. Geugorguieva brings expertise in methodological development of models for longitudinal data, assessment of risk, and the application of innovative statistical approaches to clinical trials data including mixed and mixture models and tree-based methods. The STRONG STAR Data Core supports all of the clinical projects for the STRONG STAR Consortium with full-featured Internet-based data entry and project management systems. In addition to ensuring high-quality data by providing features such as double data entry, field and logical validation, flagging of discrepancies for later adjudication, scoring algorithms, and control of participant entry in multiple projects and duplicate records, the Core has provided projects with tools for matters such as adverse events and DSMB reporting, complex randomization schemes, barcode scanning, scheduling, online PDFs of source documents, multi-speed online video streaming for training, and other innovations. A current focus of the Core is the development of research applications for mobile devices including smartphones and tablets. Dr. Mintz consults regularly with Consortium investigators on the planning and analysis of their research projects, including development and clarification of research aims and formation of testable hypotheses, study design, sample size planning and statistical analysis. During the past year, he and the Core participated in the planning and analysis of data for more than 30 poster and panel presentations at national conferences.

数据管理和生物统计学核心 数据核心的目标是通过（1）组织和维护来促进高质量研究 财团，存储库和项目数据库，以最大化可访问性，同时保持严格 机密性； （2）开发和维护在线数据输入系统和其他基于计算机的工具 促进每个项目生成的数据的进入，存储，操纵和检索 管理; （3）开发和应用现代统计方法进行财团数据分析（4） 提供研究设计和生物统计计划的方法论咨询，（5）管理 强恒星数据存储库。自从Mintz博士一直是Start Data Core的主任 财团的成立。耶鲁大学公立学校的Ralitza Geugorguieva博士将加入他的行列 健康。 Mintz博士，共同任命了流行病学/生物统计学，也是精神病学主任 部门的生物统计学核心。 Mintz博士是一位经验丰富的研究方法学家，并应用生物统计学家， 拥有超过四十年的临床研究和指导数据和统计核心的经验。 在加州大学洛杉矶分校精神病学的职业生涯中，他指导了Semel Institute Biostatistics Core和数据和数据 Visn 22 Mirecc和UCLA阿尔茨海默氏症中心的统计核心。 Geugorguieva博士带来 纵向数据，风险评估和 将创新统计方法应用于临床试验数据，包括混合和混合模型以及 基于树的方法。强大的星形数据核心支持强大的所有临床项目 具有完整基于Internet的数据输入和项目管理系统的Star Ancortium。此外 通过提供诸如双重数据输入，字段和逻辑验证，标记之类的功能来确保高质量数据 以后的裁决，评分算法和对参与者进入多个项目的差异的差异 和重复的记录，核心为不良事件和DSMB等问题提供了工具 报告，复杂的随机化方案，条形码扫描，调度，在线PDF，源文档的在线PDF， 多速在线视频流进行培训和其他创新。核心的当前重点是 开发针对包括智能手机和平板电脑在内的移动设备的研究应用程序。 Mintz博士咨询 定期与财团调查员进行研究和分析研究项目，包括 研究目标的开发和澄清，并形成可检验的假设，研究设计，样本量 计划和统计分析。在过去的一年中，他和核心参与了计划和分析 全国会议上30多个海报和小组演示的数据。