Biostatistics Core

西雅图初级感染计划的统计和数据库支持 对生物统计和其他量化支持的需要是大多数医学研究的一部分，因此， SeaPIP项目将在某种程度上利用几乎每一种类型的生物统计核心的资源 进行了研究。数据收集和测量仪器的最新进展导致了更多和 更复杂的数据类型，如病毒和细胞基因组学、病毒动力学和复杂的 免疫反应：将受益于投入和与统计学家合作的所有领域。通过将MS级生物统计师纳入常规分析，将博士级生物统计学家纳入更高级分析的协作，SeaPIP生物统计学核心具备了处理这些复杂新问题的良好条件，此外还提供标准和必要的经典生物统计学支持。 此外，鉴于需要生物统计支助的项目的多样性，核心可以提供 将方案项目不同的统计和科学活动作为一个整体整合起来，并确定项目间假设生成和探索性分析的机会所需的基础设施。生物统计核心将在所有三个项目中使用MS级别的SAS程序员和统计员，这将为整个计划提供效率和广泛的经验。此外，Holte博士和Hughes博士将定期互动，讨论计划的统计活动，以便每个项目都能从从计划的所有三个项目分析中获得的统计科学见解中受益。 最后，统计学家与临床和实验室研究人员之间最成功的合作是当相同的研究人员长期合作时实现的。霍尔特博士在与SeaPIP调查人员合作方面拥有多年的经验，因此她有能力继续支持这一科学计划的量化需求。

Statistical and database support for the Seattle Primary Infection Program The need for biostatistics and other quantitative support is part of most medical research and as such, the SeaPIP Projects will utilize the resources of the Biostatistics Core on some level in nearly every type of research conducted. Recent advances in data collection and measurement instruments result in more and more complex data types, such as viral and cellular genomics, viral dynamics, and sophisticated measures of immune responses: all areas that would benefit from input and collaboration with statisticians. By including MSlevel biostatisticians for routine analyses and PhD-level biostatisticians for collaboration on more advanced analyses, the SeaPIP Biostatistics Core is well equipped to handle these complex new problems, in addition to providing standard and necessary classical biostatistics support. In addition, given the diversity of projects requiring Biostatistical support, the Core can provide the infrastructure needed to integrate the disparate statistical and scientific activities of the Program Project as a whole, and identify opportunities for inter-project hypothesis generation and exploratory analyses. The Biostatistics Core will use MS-level SAS programmers and statisticians across all three projects which will provide efficiency and breadth of experience to the Program overall. Furthermore, Drs. Holte and Hughes will have regular interactions to discuss Program statistical activities so that each Project can benefit from statistical scientific insights gained in the analysis from all three Projects in the Program. Finally, the most successful collaborations between statisticians and clinical and laboratory researchers is achieved when the same researchers work together over long periods of time. Dr. Holte has many years of experience in collaborating with the SeaPIP investigators, so that she is well equipped to continue to support the quantitative needs of this scientific program.