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

德克萨斯大学医学分部生物统计和数据科学夏季学院 (UTMB-SIBDS)

• 批准号: 10549379
• 负责人: HEIDI SPRATT
• 金额: $ 25.67万
• 依托单位: UNIVERSITY OF TEXAS MED BR GALVESTON
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-01-15 至 2026-12-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10549379
• 关键词: Academia; Active Learning; Address; Area; Basic Science; Biomedical Research; Biometry; Biostatistical Methods; Candy; Cardiovascular Diseases; Case Study; Chronic Obstructive Pulmonary Disease; Communicable Diseases; Complex; Computer software; Data; Data Analyses; Data Science; Data Scientist; Data Set; Degree program; Disease; Education; Effectiveness; Ensure; Experimental Designs; Exposure to; Goals; Graph; Hand; Health; Heart Diseases; Hematological Disease; Hypersensitivity; Immune; Individual; Infection; Investigation; Knowledge; Lung diseases; Mediating; Medical; Mentors; Methods; Mission; Modeling; National Heart, Lung, and Blood Institute; National Institute of Allergy and Infectious Disease; Outcome; Participant; Play; Publications; Qualifying; Reporting; Reproducibility of Results; Research; Research Design; Research Personnel; Research Project Grants; Resources; Role; Sleep Disorders; Solid; Statistical Computing; Statistical Models; Stroke; Students; Techniques; Testing; Texas; Training; Tuberculosis; United States National Institutes of Health; Universities; Vocational Guidance; Walking; Work; analytical tool; career; career development; design; disorder prevention; experience; faculty mentor; grasp; hands on research; hands-on learning; heart function; improved; inferential statistics; innovation; interest; journal article; lectures; machine learning method; meetings; preclinical study; programs; recruit; research study; skills; stem; student mentoring; summer institute; tool; training opportunity; undergraduate student; user-friendly; vaccine development

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.

项目总结/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在 某些高级研究生（或偶尔本科）学位课程。由于没有这些机会， 由于缺乏合格的生物统计学家和数据，生物医学劳动力的有效性受到影响 科学家可以设计有效和强大的研究，可以分析，以产生可靠的， 这是一个可推广的结果，因此适用于健康研究中最重要的问题。对于这个项目，我们 将侧重于配对本科生与生物统计学和翻译导师在感兴趣的领域， NHLBI和NIAID致力于具体的研究项目。我们建议在香港设立一所暑期学院， 生物统计学和数据科学在得克萨斯大学医学分支，为学员提供这些 提供直接的实践培训机会。该项目的目标是开发这一培训机会， 让学生接触来自真实的研究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 设计解决具体生物医学问题的优势和劣势，2）使用工具， 统计建模、数据科学和假设检验沿着最先进的统计软件 问题，以及产生这些问题的结果和结论，以及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：1）为学生提供接受基础教育培训的机会， 在引人注目的科学问题和研究数据背景下的生物统计学和数据科学方法， 基于2）在描述分析和计算方面实施创新的教育方法 必要的技能，以执行与NHLBI和NIAID的使命相关的项目的生物统计研究， 以及3）提供一个程序教师指导的独立研究机会和4）是 为学员提供职业指导和发展机会，以及5）招聘多元化的 参加者本培训的应用将由来自心脏项目的案例研究指导， 肺部疾病以及传染病预防、新发感染和免疫介导的 问题研究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在一起方面具有创新性 科学技术使用有效的教育平台与具体的案例研究应用程序，以及 职业发展的机会。我们的项目是重要的，因为发展知识渊博的劳动力 在心脏和肺部疾病的生物统计学和数据科学应用以及传染病研究中， 疾病预防、新发感染和免疫介导的研究越来越多地 提高生物医学创新的效率和可靠性的需求;该项目代表了一个重要的 来满足这一需求。