Biostatistics and Data Management Core

乌干达-加州大学旧金山分校预防和及早发现艾滋病毒相关癌症联盟提出的三个研究项目中的每一个都涉及预期的实地数据收集。每种方法都需要进行生物统计分析。由于该联盟认识到数据管理和生物统计分析对研究的重要性，并希望将相关技术和方法转让给非洲，因此它将为这些目的建立一个共享和有效的资源核心。乌干达--UCSF联盟的数据管理和生物统计分析核心(DMBAC)将有以下具体目标： 目标1.为初级数据收集和数据管理提供专门知识和共同平台。DMBAC将利用加州大学旧金山分校流行病学和生物统计系过去20年建立的数据管理专业知识，并将其转移到乌干达的传染病研究所(IDI)，以支持我们的三个研究项目和由该联盟资助的任何试点项目。 目的2.在规划新研究和分析正在进行的研究期间提供针对具体项目的生物统计学支助，并向乌干达新出现的主要研究人员提供专门的生物统计学指导。通过提供熟悉艾滋病毒相关恶性肿瘤实质性方面的教职员工级生物统计师的帮助，DMBAC将确保使用最适当的生物统计战略设计和分析3个研究项目和任何相关的试点项目。定期讲授专门的分析技术将使新兴的乌干达科学家能够跟上当前的方法，并熟悉生物统计学家。 在5年资助期结束时，DMBAC将在数据管理和生物统计分析方面为三个研究项目中的每个项目以及该联盟承担的所有试点项目提供支持。它还将把相关技术和技能从加州大学旧金山分校的专家转移给乌干达的同事。最后，同样重要的是，这也将使乌干达新出现的首席调查员有机会与他们的一些最重要的盟友--数据管理员和生物统计学家--互动并建立专业关系。这些关系和由此产生的最佳做法将为新兴的乌干达科学家提供他们剩余职业生涯所需的坚实基础。

Each of the three Research Projects proposed by the Uganda-UCSF Consortium on Prevention and Early Detection of HIV-associated Cancer involves prospective field-based data collection. Each also features the need for biostatistical analysis. Because the Consortium recognizes the importance of data management and biostatistical analysis to research and wishes to transfer relevant technology and approaches to Africa, it will create one shared and efficient resource core for these purposes. The Data Management and Biostatistical Analysis Core (DMBAC) of the Uganda-UCSF Consortium will have the following specific aims: Aim 1. Provide expertise and a common platform for primary data collection and data management. The DMBAC will leverage the expertise in data management built at the Department of Epidemiology and Biostatistics at UCSF over the past two decades and transfer it to the Infectious Diseases Institute (IDI) in Uganda for the support of our three Research Projects and any pilot projects funded by the Consortium. Aim 2. Offer project-specific biostatistical support both during the planning of new research and during the analysis of ongoing studies as well as specialized biostatistical instruction to our emerging Ugandan principal investigators. By offering assistance from faculty-level biostatisticians who are familiar with the substantive aspects of HIV-associated malignancies, the DMBAC will ensure that the 3 Research Projects and any relevant pilot projects are designed and analyzed using the most appropriate biostatistical strategies. Periodic didactic instruction in specialized analytical techniques will allow the emerging Ugandan scientists to keep abreast with current methods and be conversant with biostatisticians. At the end of the 5-year funding period, the DMBAC will have provided support in data management and biostatistical analysis to each of the three Research Projects and all pilot projects that are borne from the consortium. It will have also transferred relevant technology and skills from specialists at UCSF to colleagues in Uganda. Finally, and equally important, it will have also given the emerging Ugandan principal investigators a critical opportunity to interact with and form professional relationships with some of their most important allies — data managers and biostatisticians. These relationships and the best practices derived from them will give the emerging Uganda scientists the solid foundation they need for rest of their career.