Biostatistics and Data Management Core

乌干达-UCSF艾滋病毒相关癌症预防和早期检测联盟提出的三个研究项目中的每一个都涉及前瞻性的实地数据收集。每一个都需要生物统计分析。由于联合会认识到数据管理和生物统计分析对研究的重要性，并希望向非洲转让相关技术和方法，因此将为此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）将具有以下具体目标： 目标1.为主要数据收集和数据管理提供专业知识和通用平台。DMBAC将利用过去二十年来在UCSF流行病学和生物统计学系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联盟资助的任何试点项目。 目标二。在新研究的规划和正在进行的研究的分析期间提供特定项目的生物统计支持，以及为我们新兴的乌干达主要研究者提供专门的生物统计指导。通过提供由学院级的生物统计学家谁是熟悉艾滋病毒相关的恶性肿瘤的实质性方面的援助，DMBAC将确保3个研究项目和任何相关的试点项目的设计和分析使用最适当的生物统计策略。定期讲授专门分析技术将使乌干达新科学家能够跟上当前的方法，并熟悉生物统计学家。 在五年资助期结束时，DMBAC将为三个研究项目和所有由联盟承担的试点项目提供数据管理和生物统计分析方面的支持。它还将把相关技术和技能从加州大学旧金山分校的专家那里转移到乌干达的同事那里。最后，同样重要的是，这也将为乌干达新的主要调查人员提供一个关键的机会，与他们最重要的盟友-数据管理人员和生物统计人员-互动并建立专业关系。这些关系以及由此产生的最佳实践将为乌干达新兴科学家提供他们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.