Core--Statistics, Epidemiology, and Data Management

核心——统计学、流行病学和数据管理

• 批准号: 6736616
• 负责人: BRUCE LEVIN
• 金额: $ 26.83万
• 依托单位: NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC
• 依托单位国家: 美国
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-03-28 至 2008-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6736616
• 关键词: AIDS education /prevention; HIV infections; biomedical facility; computer data analysis; data collection methodology /evaluation; data management; disease /disorder proneness /risk; epidemiology; human data; information systems; statistical service /center; statistics /biometry

DESCRIPTION (provided by applicant): This is a revised application for the Statistics Epidemiology. and Data Management (SED) Core. The SED Core will advance HIV research and improve the quality of applications submitted by HIV Center-affiliated researchers by providing advice and assistance with state-of-the-art statistics, epidemiology, and data management. The Core will continue to serve as a center of excellence for the planning and design of investigator-initiated observational studies and behavioral interventions to reduce the risk of HIV infection on the individual, couple, group, and community levels. It will identify previously unrecognized statistical needs and study design improvements at the earliest planning stages in order to generate innovative solutions. The SED Core will meet the biostatistical, epidemiologic, and data management needs of Center-affiliated studies in a centralized and unified manner, consistent with modern principles of conduct of randomized controlled trials for behavioral intervention studies and observational methods for comparative or descriptive, nonexperimental studies. With its tripartite structure, the Core provides an interrelated network of talented specialists who are interdisciplinary and collaborate on all aspects of marshaling evidence: study design and instrumentation, anticipation and avoidance of bias, data management, statistical analysis and weighing of evidence, and interrelation with other disciplines to evaluate evidence and make causal inferences. The Statistics Component increases the likelihood that the randomized trials and observational studies will achieve their scientific goals through the application of good statistical principles and practices that minimize threats to validity. The biostatistical faculty and staff in the Core are highly experienced in collaborating with investigators in keeping studies on target and are pro-active in identifying and seeking resolutions to new statistical problems. The Epidemiology Component sits at the interface of the behavioral and biomedical sciences and thus is uniquely positioned to contribute to the articulation and refinement of research questions, to the selection of appropriate study designs, to the resolution of issues that arise in the field, and to the interpretation of the resulting data. The Data Management Component provides state-of-the-art management of research information, including forms production, ACASI instrumentation, and web-based research products. The integration of these skills and resources into one Core has led to a synergistic interaction of disciplines to identify and develop specific technical methods and products that will enhance the research productivity of the Center and support new and innovative research.

描述(申请人提供)：这是一份修订后的统计流行病学申请。和数据管理(SED)核心。SED核心将通过提供最先进的统计、流行病学和数据管理方面的建议和帮助，推动艾滋病毒研究，并提高艾滋病毒中心附属研究人员提交的申请的质量。中心将继续作为一个卓越的中心，规划和设计由研究人员发起的观察性研究和行为干预，以降低个人、夫妇、群体和社区层面的艾滋病毒感染风险。它将查明以前未被确认的统计需求，并在最早的规划阶段研究设计改进，以产生创新的解决办法。SED核心将以集中和统一的方式满足中心附属研究的生物统计学、流行病学和数据管理需求，符合行为干预研究的随机对照试验的现代管理原则，以及比较或描述性、非实验的观察方法 学习。凭借其三方结构，核心提供了一个相互关联的人才网络 专家是跨学科的，在整理证据的所有方面进行合作：研究设计和工具、预测和避免偏见、数据管理、统计分析和证据权衡，以及与其他学科的相互关系，以评估证据和做出因果推断。统计部分增加了随机试验和观察性研究通过应用良好的统计原则和做法实现其科学目标的可能性，这些原则和做法最大限度地减少了对有效性的威胁。中心的生物统计学教职员工在与调查人员合作保持对目标的研究方面经验丰富，并积极主动地识别和寻求解决新的统计问题的办法。流行病学部分位于行为科学和生物医学科学的交界处，因此在促进研究问题的阐明和精炼、选择适当的研究方面具有独特的地位。 设计、解决实地出现的问题以及对所产生的数据进行解释。数据管理组件提供最先进的研究信息管理，包括表单制作、ACASI仪器和基于Web的研究产品。将这些技能和资源整合到一个核心中，导致了各学科之间的协同作用，以确定和开发具体的技术方法和产品，以提高中心的研究生产率，并支持新的和创新的研究。