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: 8774766
• 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/8774766
• 关键词: Adverse event; Alcohol or Other Drugs use; Algorithms; Alzheimer' s Disease; Biological Markers; Biometry; Biostatistics Core; Characteristics; Clinical; Clinical Research; Clinical Trials; Complex; Computers; Confidentiality; 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; 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 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以下方式促进高质量的研究：（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 （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， 便于输入、存储、操作和检索每个项目以及项目 管理;（3）开发和应用现代统计方法来分析财团数据（4） 提供研究设计和生物统计规划的方法学咨询，（5）管理 强星星数据存储库。Mintz博士自2000年以来一直担任STRONG星星数据核心的主管。 财团的成立。耶鲁大学公共管理学院的Ralitza Geugorguieva博士将加入他的行列 健康Mintz博士在流行病学/生物统计学领域联合任命，同时担任精神病学主任 生物统计学的核心。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， 拥有四十多年的临床研究合作经验，并指导数据和统计核心。 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学核心和数据， VISN 22 MIRECC和UCLA阿尔茨海默病中心的统计核心。格戈吉耶娃博士带来了 在纵向数据模型的方法学开发、风险评估和 创新统计方法在临床试验数据中的应用，包括混合和混合模型， 基于树的方法STRONG星星数据核心支持STRONG的所有临床项目 星星联盟，拥有功能齐全的基于互联网的数据输入和项目管理系统。除了 通过提供双重数据输入、字段和逻辑验证、标记等功能来确保高质量的数据 为以后的裁决，评分算法和控制参与者进入多个项目的差异 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、日程安排、源文件的在线PDF， 用于培训的多速在线视频流，以及其他创新。核心目前的重点是 为包括智能手机和平板电脑在内的移动的设备开发研究应用程序。Mintz医生 定期与联盟的研究人员就其研究项目的规划和分析，包括 研究目标的制定和澄清以及可检验假设的形成、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， 在国家会议上为30多个海报和小组介绍提供了数据。