C: Data Sciences and Methods

项目总结/摘要 数据科学和方法核心提供了基础设施，促进了有组织的，协同的， 为UW/FH CFAR成员提供艾滋病毒研究中统计和定性方法的集中方法， 强调向初级调查员提供支助和培训。核心帮助提供的服务 确保CFAR研究人员进行的艾滋病毒研究的严谨性和可重复性。除了标准 统计支持，核心提供先进的统计方法和专业知识的设计，进行和 向CFAR调查人员提供临床研究和实验室研究分析。这包括发展 当标准方法不充分或最佳时，通过提供CFAR之间的关键联系， 生物医学研究人员和大量的生物统计学和其他定量科学教师在 华盛顿大学和弗雷德·哈奇，他们正在开发新的统计方法。新在这 应用是定性方法的额外专业知识，带来定性和定量的专业知识 在一个有凝聚力的群体中。最后，核心还提供标准统计方法的培训 作为涉及复杂新数据类型的专门方法的更高级的主题， 为下一代定量研究人员和领导者。最后，我们提供的支持有助于 与我们的核心合作的所有成员的创新，有影响力，多学科和全球研究。 我们提出了三个具体目标，以实现上述目标：1。提供统计领导， 支持，包括研究设计，数据库开发，分析和报告CFAR研究人员; 2.提供 领导，指导和协助使用定性方法，特别是在行为领域 和执行科学，以建立CFAR能力，评估背景， 在他们的研究中的经验;和3。提供培训和接触严格的定性和 所有CFAR研究人员的定量方法。

Project Summary/Abstract The Data Science and Methods Core provides the infrastructure that facilitates an organized, synergistic, and centralized approach to statistics and qualitative methods in HIV research for the UW/FH CFAR members, with an emphasis on providing support and training to junior investigators. The services provided by the core help ensure rigor and reproducibility in HIV research conducted by CFAR investigators. In addition to standard statistical support, the Core provides advanced statistical methods and expertise in the design, conduct a nd analysis of clinical research and laboratory studies to CFAR investigators. This includes the development of novel methods when standard approaches are not adequate or optimal by providing a crucial link between CFAR biomedical researchers and the large number of biostatistics and other quantitative sciences faculty at the University of Washington and the Fred Hutch who are developing novel statistical methods. New in this application is the additional expertise in qualitative methods, bringing both qualitative and quantitative expertise together in one cohesive group. Finally, the core provides training in both standard statistical methods as well as more advanced topics involving specialized method for complex new data types and provides an opportunity for the next generation of quantitative researchers and leaders. Finally, the support we provide contributes to the innovative, impactful, multidisciplinary and global research of all members who collaborate with our core. We propose three specific aims to achieve these goals stated above: 1. Provide statistical leadership and support, including study design, database development, analysis and reporting to CFAR researchers; 2. Provide leadership, mentorship and assistance in the use of qualitative methods, especially within the fields of behavioral and implementation science, to build CFAR capacity to evaluate context and incorporate personal experiences within their research studies; and 3. Provide training and exposure to rigorous qualitative and quantitative methods for all CFAR researchers.