CORE--QUANTITATIVE

核心--定量

• 批准号: 7478407
• 负责人: TIMOTHY L MCAULIFFE
• 金额: $ 25.42万
• 依托单位: MEDICAL COLLEGE OF WISCONSIN
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-08-01 至 2009-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7478407
• 关键词: AIDS prevention; Area; Behavior Therapy; Behavioral; Behavioral Research; Biometry; Collection; Complex; Consultations; Core Facility; Data; Data Analyses; Data Collection; Databases; Decision Making; Development; Device or Instrument Development; Effectiveness; Evaluation; Guidelines; HIV; Human Resources; Individual; Intervention; Investigation; Leadership; Literature; Measures; Methodology; Modeling; Numbers; Pattern; Play; Prevention intervention; Procedures; Process; Purpose; Reporting; Research; Research Design; Research Methodology; Research Personnel; Research Project Grants; Research Training; Role; Scientist; Screening procedure; Services; Standards of Weights and Measures; Statistical Methods; Statistical Models; Techniques; Training; Uncertainty; Ursidae Family; Work; community intervention; data management; design; instrument; model design; programs; symposium; tool

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.

定量核心为数据管理，生物统计学，研究设计和数据分析领域的CAIR研究人员和科学人员提供领导，咨询，支持服务和培训。此外，核心在进行评估方法研究和数据收集工具的设计方面提供了领导，并与其他CAIR核心在与定量模型，设计和分析有关的问题中与其他CAIR核心进行了互动。定量核心科学家开发，监督进入过程，管理和维护整个程序范围的研究数据库。核心科学家以多种方式进行这些活动，包括通过核心的设施以及使用程序进行集中入境和研究数据管理；与个别CAIR调查人员和项目调查团队进行咨询；参与中心科学规划和决策；并参加CAIR会议，研究研讨会和研究培训。对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干预措施对现实世界中进行的复杂研究的影响。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起着至关重要的作用。核心在评估措施的制定和评估以及数据收集工具的设计方面提供了领导地位。研究数据的条目，管理和筛选中公认的标准是 被认为是研究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的标准程序，核心在CAIR研究中收集的研究数据的管理方面取得了统一性。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 - 影响了评估干预影响的统计模型的正确发展。在与研究开发，设计和 分析都是重要的核心科学贡献。此外，定量核心与其他核心结合使用，以在协同的功能关系中运行。这种关系使定量核心能够受益其他核心的功能，同时也从中可用的专业知识中受益。