The University of Texas Medical Branch Summer Institute in Biostatistics and Data Science (UTMB-SIBDS)

项目摘要/摘要 生物统计学家和数据科学家的特定项目培训机会通常不在 某些高级研究生(或偶尔是本科)学位课程。由于缺乏这些机会， 由于缺乏合格的生物统计员和数据，生物医学劳动力的有效性受到影响 能够设计高效和可靠的研究的科学家，这些研究可以被分析以产生可靠和 可推广的结果，从而应用于健康研究中最重要的问题。对于这个项目，我们 将专注于将本科生与生物统计学和翻译导师在他们感兴趣的领域进行配对 NHLBI和NIAID在具体的研究项目上工作。我们建议在中国建立一个暑期学院。 德克萨斯大学医学分校的生物统计和数据科学为学员提供这些 有机会进行直接的实践培训。该项目的目标是发展这一培训机会 让学生接触到实际研究中的统计设计和分析问题，同时为他们提供 解决这些问题的概念和技术工具。因此，学生应该能够1)评估学习 设计解决特定生物医学问题的优势和劣势，2)使用 统计建模、数据科学和假设检验，以及最先进的统计软件 对问题以及对这些问题产生结果和结论；3)了解如何 发展这些技能可以在学术界内外带来各种各样的职业机会。 该项目的具体目标是为学生提供1)接受基础知识培训的机会 生物统计学和数据科学方法在引人注目的科学问题和研究数据的背景下， 基于2)在描述分析和计算方面实施创新的教育方法 对与NHLBI和NIAID的任务相关的项目进行生物统计研究所需的技能， 以及3)为项目提供由教师指导的独立研究机会和4) 为学员提供职业指导和发展机会，以及5)招聘不同群体的 学员培训的应用将以源自项目的案例研究为指导， 肺部疾病以及传染病预防、新发感染和免疫调节方面的研究 学习。该项目在如何将最先进的统计和数据方面的积极培训联系起来方面具有创新性 使用有效的教育平台的科学技术与具体的案例研究应用以及 职业发展的机会。我们的项目意义重大，因为培养一支知识渊博的劳动力队伍 在心肺疾病的生物统计学和数据科学方面的应用以及在传染病方面的研究 疾病预防、新发感染和免疫介导性研究的研究越来越多地在 要求提高生物医学创新的效率和可靠性；该项目代表着一个重要的 在满足这种需求方面迈出一步。

PROJECT SUMMARY/ABSTRACT Project-specific training opportunities for biostatisticians and data scientists are often not available outside of certain advanced graduate (or occasionally undergraduate) degree programs. Lacking these opportunities, the effectiveness of the biomedical workforce suffers due to shortages in qualified biostatisticians and data scientists who can design efficient and robust studies that can be analyzed to produce reliable and generalizable results and thus applied to the most important problems in health research. For this project, we will focus on pairing undergraduates with biostatistics and translational mentors in areas of interest to the NHLBI and NIAID to work on specific research projects. We propose to establish a Summer Institute in Biostatistics and Data Science at the University of Texas Medical Branch to provide trainees with these opportunities for direct, hands-on training. The objective of this project is to develop this training opportunity to expose students to statistical design and analysis problems from real research, while providing them with the conceptual and technical tools to address these problems. As such, students should be able 1) to assess study designs for strengths and weaknesses in addressing specific biomedical questions, 2) to use the tools of statistical modeling, data science, and hypothesis testing along with state-of-the-art statistical software to work on problems as well as produce results and conclusions for these problems, and 3) to understand how developing these skills can lead to a wide variety of career opportunities both inside and outside of academia. The specific aims of this project are to develop an opportunity for students 1) to receive training in basic biostatistics and data science methods in the context of compelling scientific questions and research data, based on 2) the implementation of innovative educational approaches in describing analytic and computational skills necessary to execute biostatistical research on projects relevant to the missions of the NHLBI and NIAID, as well as 3) be provided with a program faculty-mentored independent research opportunity and 4) be provided career guidance and development opportunities to trainees, and 5) to recruit a diverse group of participants The application of this training will be guided by case studies stemming from projects in heart and lung diseases as well as studies in infectious disease prevention, emerging infections, and immune-mediated studies. This project is innovative in how it ties together active training in state-of-the-art statistical and data science techniques using effective educational platforms tied with specific case study applications as well as opportunities for career development. Our project is significant because developing a workforce knowledgeable in biostatistical and data science applications of heart and lung diseases as well as studies in infectious disease prevention, emerging infections, and immune-mediated studies research has been increasingly in demand to improve the efficiency and reliability of biomedical innovation; this project represents an important step in meeting this need.