CORE--QUANTITATIVE

核心--定量

• 批准号: 7107851
• 负责人: TIMOTHY L MCAULIFFE
• 金额: $ 20.84万
• 依托单位: MEDICAL COLLEGE OF WISCONSIN
• 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/7107851
• 关键词: AIDS education /prevention; biomedical facility; data collection methodology /evaluation; data management; education evaluation /planning; epidemiology; experimental designs; information systems; mathematical model; method development; model design /development; statistics /biometry; training

The Quantitative Core provides leadership, consultation, support services, and training to CAIR investigators and scientific personnel in the areas of data management, biostatistics, research design, and data analysis. In addition, the Core provides leadership in the conduct of assessment methodology research and the design of data collection instruments, and interacts with other CAIR Cores in matters related to quantitative models, design, and analysis. Quantitative Core Scientists develop, supervise the entry process, manage, and maintain program-wide research databases. Core Scientists perform these activities in a variety of ways including through the Core's facility and using procedures for the centralized entry and management of research data; consultation to individual CAIR investigators and project investigation teams; participation in Center scientific planning and decision making; and participation in CAIR Conferences, research seminars, and research training. The evaluation of HIV prevention interventions requires reliable and valid assessment techniques, the collection and management of large volumes of data, and the use of sophisticated and appropriate statistical tools for evaluating the impact of an intervention in complex studies conducted in real-world settings. Statistical methods play a crucial role in determining the uncertainty associated with the impact of these interventions. The Core provides leadership in the development and evaluation of assessment measures and the design of data collection instruments. Accepted standards in the entry, management, and screening of research data are recognized as key steps in the scientific analysis of research. Through the creation of a Center-wide data management facility and standard procedures for data handling, the Core has achieved uniformity in the management of research data collected in CAIR studies. A number of features of HIV prevention interventions--including the complexity of community intervention and the complexity of sexual behavioral practice patterns-- influence the proper development of statistical models for assessing intervention impact. Bringing statistical issues and findings reported in the statistical literature to bear when relevant on study development, design, and analysis is both an important Core scientific contribution. In addition, the Quantitative Core works in conjunction with other Cores to operate in a synergistic functional relationship. This relationship enables the Quantitative Core to benefit the functions of the other Cores, while also benefiting from the expertise available in them.

定量核心为 CAIR 研究人员和科学人员提供数据管理、生物统计学、研究设计和数据分析领域的领导、咨询、支持服务和培训。此外，该核心在评估方法研究和数据收集工具的设计方面发挥领导作用，并与其他 CAIR 核心在定量模型、设计和分析相关事宜上进行互动。定量核心科学家开发、监督输入过程、管理和维护项目范围的研究数据库。核心科学家以多种方式执行这些活动，包括通过核心设施和使用研究数据的集中输入和管理程序；向个别 CAIR 调查员和项目调查小组咨询；参与中心科学规划和决策；参加 CAIR 会议、研究研讨会和研究培训。艾滋病毒预防干预措施的评估需要可靠且有效的评估技术、大量数据的收集和管理，以及使用复杂且适当的统计工具来评估在现实环境中进行的复杂研究中干预措施的影响。统计方法在确定与这些干预措施的影响相关的不确定性方面发挥着至关重要的作用。核心在评估措施的开发和评估以及数据收集工具的设计方面发挥领导作用。研究数据输入、管理和筛选的公认标准是 被认为是对研究进行科学分析的关键步骤。通过创建中心范围的数据管理设施和数据处理标准程序，核心已实现 CAIR 研究中收集的研究数据管理的统一。艾滋病毒预防干预措施的许多特征——包括社区干预的复杂性和性行为实践模式的复杂性——影响评估干预效果的统计模型的正确发展。当与研究开发、设计和研究相关时，将统计文献中报告的统计问题和结果应用到研究中 分析都是重要的核心科学贡献。此外，量化核心与其他核心协同工作，以协同功能关系运作。这种关系使定量核心能够受益于其他核心的功能，同时也受益于它们提供的专业知识。