Boston University Summer Institute for Research Education in Biostatistics

摘要 波士顿大学(BU)提出了一个为期六周的强化项目，名为波士顿大学暑期学院 生物统计学研究教育课程(BU SIBS)，基于包括 生物统计分析，流行病学分析，传染病，临床试验的设计和分析， 统计遗传学/基因组学和统计计算。课程设置严谨，并穿插着时事 突出生物统计相关性的例子特别强调最近的趋势，包括 生物医学大数据和高性能计算，它旨在吸引本科生的兴趣，最近 来自美国各地的毕业生和早期研究生在生物统计学领域有许多令人兴奋的机会。 我们的教职员工热情高涨，致力于这个项目，我们正在练习的外部演讲者小组也是如此 来自学术界和工业界的生物统计学家和流行病学家，以及从事重要研究的内科科学家 广为人知的研究，如国家心脏、肺和血液研究所(NHLBI)的弗雷明翰心脏 研究和杰克逊心脏研究。来自波士顿大学的强大机构支持提供50%的学费奖学金和 基础设施，以支持项目期间学生生活的方方面面。典型的日程表将包括 上午的讲座，然后是计算机上的SAS或R编程语言的实践指导 教室。在BU用餐设施吃完午饭后，学员将返回计算机教室 完成与课程内容相关的简短作业，或以小组形式参与研究项目。这个 研究项目将跨越整个项目，并将深入参与学生的研究导师作为 学生从提供的几个数据集中选择一个，确定研究问题，制定分析计划， 进行分析，并综合和展示结果。每天的日程表还将穿插着客人 讲师(通常与学生共进午餐，以提供更多的非正式交流机会) 和实地考察(例如，对弗雷明翰心脏研究)。北卡罗来纳大学举办了一个为期六周的密集暑期学院 2003年起由NHLBI资助的生物统计培训(SIBS)(T15 HL075881；T15 HL097791；R25 HL131491)。 截至本提案提出之日，已在2004年6月和7月期间完成了13届会议 至2017年，第十四届会议正在进行中(2018年6月11日至7月20日)。我们的记录非常好。我们 成功地与90%以上的北大SIBS学生(2004-2017年)保持稳定联系，并与约60%的学生保持稳定联系 在我们的BU SIBS校友中，要么已经进入了生物统计学的研究生课程，要么已经在该领域找到了工作。我们的 在规划和实施我们之前成功的BU SIBS项目方面的经验将使我们能够迅速 实施新的BU SIBS计划，保留我们过去计划中经过验证的方面，同时引入新的 这些要素包括在线模块、传染病部分和更深入的研究经验。

ABSTRACT Boston University (BU) proposes an intensive six-week program entitled the `Boston University Summer Institute for Research Education in Biostatistics' (BU SIBS), based on a comprehensive curriculum that includes biostatistical analysis, epidemiological analysis, infectious disease, design and analysis of clinical trials, statistical genetics/genomics, and statistical computing. The curriculum is rigorous and interspersed with current examples that highlight the relevance of biostatistics with particular emphasis on recent trends including biomedical big data and high performance computing, and it is designed to interest undergraduates, recent graduates and early graduate students from across the US in the many exciting opportunities in biostatistics. Our faculty is enthusiastic and committed to the program, as are our panel of outside speakers who are practicing biostatisticians and epidemiologists from academia and industry, and physician-scientists working on important highly-publicized studies such as the National Heart, Lung, and Blood Institute's (NHLBI) Framingham Heart Study and Jackson Heart Study. Strong institutional support from BU provides a 50% tuition scholarship and an infrastructure to support all aspects of student life during the program. The typical daily schedule will include a morning lecture followed by hands-on instruction in the SAS or R programming language in a computer classroom. After lunch at the BU dining facilities participants will return to the computer classroom to either complete short assignments relevant to the lecture content or to work in small groups on a research project. The research project will span the entire program and will deeply engage students with a research mentor as the students choose of one several provided data sets, determine a research question, develop an analysis plan, conduct the analysis, and synthesize and present results. The daily schedule will also be interspersed with guest lecturers (who typically eat lunch with the students to provide additional opportunity for informal communication) and site visits (e.g. to the Framingham Heart Study). BU has run a six-week intensive Summer Institute for training in Biostatistics (SIBS) funded by NHLBI since 2003 (T15 HL075881; T15 HL097791; R25 HL131491). As of the date of this proposal, 13 sessions have been completed during the months of June and July of 2004 through 2017 and the 14th session is in progress (June 11-July 20, 2018). Our track record is very strong. We successfully maintain steady contact with over 90% of our prior (2004-2017) BU SIBS students and about 60% of our BU SIBS alumni have either entered into graduate programs in biostatistics or taken jobs in the field. Our experience in planning and implementing our prior successful BU SIBS programs will enable us to rapidly implement the new BU SIBS program, maintaining proven aspects of our past program while introducing new elements such online modules, an infectious disease component and a more in depth research experience.