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密集计划，名为“波士顿大学暑期研究所” 生物统计学研究教育（BU SIBS），基于全面的课程，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，并穿插当前 强调生物统计学相关性的示例，特别强调最近的趋势，包括 生物医学大数据和高性能计算，它的目的是感兴趣的本科生，最近 毕业生和早期的研究生来自美国各地的生物统计学的许多令人兴奋的机会。 我们的教师是热情和致力于该计划，因为是我们的小组外部发言人谁是实践 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医学科学家， 高度宣传的研究，如国家心脏，肺和血液研究所（NHLBI）的心脏功能 研究和杰克逊心脏研究。来自BU的强大机构支持提供了50%的学费奖学金和 基础设施，以支持学生生活的各个方面在节目。典型的每日日程安排将包括 上午的讲座，然后在计算机上的SAS或R编程语言的实践指导 教室在BU用餐设施午餐后，参与者将返回计算机教室， 完成与讲座内容相关的短作业，或以小组形式进行研究项目。的 研究项目将跨越整个计划，并将深入参与学生与研究导师作为 学生从提供的几个数据集中选择一个，确定一个研究问题，制定一个分析计划， 进行分析，综合并提出结果。每天的日程安排也将穿插客人 讲师（通常与学生共进午餐，为非正式交流提供额外机会） 和研究中心访视（例如，心脏病研究）。BU举办了为期六周的密集暑期研究所， 自2003年以来由NHLBI资助的生物统计学（SIBS）培训（T15 HL 075881; T15 HL 097791; R25 HL 131491）。 截至本建议提出之日，在2004年6月和7月期间已完成了13次会议 第14届会议正在进行中（2018年6月11日至7月20日）。我们的业绩记录非常好。我们 成功地与超过90%的BU SIBS学生保持稳定的联系（2004-2017），约60% 我们的BU SIBS校友要么进入生物统计学研究生课程或在该领域的工作。我们 在规划和实施我们之前成功的BU SIBS计划方面的经验将使我们能够迅速 实施新的BU SIBS计划，保持我们过去计划的成熟方面，同时引入新的 这些内容包括在线模块、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.