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: 9548995
• 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 2020-09-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9548995
• 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; Comorbidity; 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; Infrastructure; Institutes; Institution; Internet; Mental Depression; Mental Health; Methodology; Methods; Modeling; Modernization; Neurobiology; Pain; Participant; Personal Satisfaction; Post-Traumatic Headaches; Post-Traumatic Stress Disorders; Prevention; Prevention strategy; Procedures; Proteomics; Psychiatry; Public Health Schools; Randomized; Records; Reporting; Research; Research Design; Research Personnel; Research Project Grants; Risk Assessment; Sample Size; Scanning; Schedule; Scheme; Seasons; 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; data warehouse; experience; handheld mobile device; improved; innovation; model development; multidisciplinary; neuroimaging; novel; outcome forecast; physical conditioning; post-traumatic stress; posters; prevent; prognostic; rehabilitation strategy; repository; research and development; service member; statistics; success; symposium; tool; treatment strategy

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核心 数据核心的目标是通过(1)组织和维护 联盟、存储库和项目数据库，以最大限度地提高可访问性，同时保持严格的 保密；(2)开发和维护在线数据录入系统和其他以计算机为基础的工具， 促进每个项目以及项目生成的数据的输入、存储、操作和检索 管理；(3)开发和应用现代统计方法分析联合体数据(4) 在研究设计和生物统计规划方面提供方法学咨询；(5)管理 强大的明星数据存储库。明茨博士自2011年以来一直担任Strong STAR Data Core的主管 联合体的成立。耶鲁大学公共学院的Ralitza Geugorguieva博士将加入他的行列 健康。明茨博士在《流行病学/生物统计学》杂志上被联合任命，同时担任精神病学主任 该部门的生物统计核心。明茨博士是一位经验丰富的研究方法学家和应用生物统计学家， 在临床研究和指导数据和统计核心方面拥有超过40年的合作经验。 在加州大学洛杉矶分校精神病学的职业生涯中，他指导了塞梅尔研究所生物统计核心和数据和 VISN 22 MIRECC和加州大学洛杉矶分校阿尔茨海默氏症中心的统计核心。Geugorguieva博士带来了 在纵向数据模型的方法学开发、风险评估和 将创新的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STAR数据核心支持所有针对强者的临床项目 拥有功能齐全的基于互联网的数据输入和项目管理系统的明星财团。除了……之外 通过提供重复数据输入、字段和逻辑验证、标记等功能确保高质量的数据 为以后的裁决、评分算法和多个项目中参与者进入的控制提供差异 和重复记录，核心为项目提供了处理不良事件和DSMB等事项的工具 报告、复杂的随机化方案、条形码扫描、调度、源文档的在线PDF、 多速在线视频流媒体培训等创新。核心当前的一个重点是 为智能手机和平板电脑等移动设备开发研究应用程序。明茨博士咨询 定期与财团调查人员就其研究项目的规划和分析进行合作，包括 发展和澄清研究目标、可检验假设的形成、研究设计、样本量 规划和统计分析。在过去的一年里，他和核心参与了规划和分析 收集国家会议上30多张海报和小组报告的数据。