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: 10365024
• 负责人: HEIDI SPRATT
• 金额: $ 25.81万
• 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/10365024
• 关键词: Academia; Active Learning; Address; Area; Bachelor' s Degree; 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; Effectiveness; Ensure; Experimental Designs; Exposure to; Goals; Graph; Hand; Health; Heart Diseases; Hematological Disease; Hypersensitivity; Immune; Individual; Infection; Investigation; Knowledge; Lead; 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; 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; base; 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 某些高级毕业生（或偶尔是本科）学位课程。缺乏这些机会， 由于合格的生物统计学家和数据的短缺，生物医学劳动力的有效性受到了 可以设计有效，可靠的研究的科学家，可以分析以产生可靠和 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 将专注于将本科生与生物统计学和转化导师配对， NHLBI和NIAID从事特定的研究项目。我们建议在 德克萨斯大学医学分公司的生物统计学和数据科学为学员提供这些 直接实践培训的机会。该项目的目的是开发这个培训机会 向学生暴露于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）评估研究 在解决特定生物医学问题时的优势和劣势的设计，2）使用 统计建模，数据科学和假设测试以及最先进的统计软件 关于问题以及为这些问题产生结果和结论，以及3）了解如何 发展这些技能可能会带来学术界内外各种职业机会。 该项目的具体目的是为学生开发机会1）接受基本的培训 在引人入胜的科学问题和研究数据的背景下，生物统计学和数据科学方法， 基于2）在描述分析和计算时实施创新的教育方法 对与NHLBI和NIAID任务有关的项目进行生物统计研究所需的技能， 以及3）提供课程教师的独立研究机会，4） 为学员提供了职业指导和发展机会，5）招募一组 参与者的应用将以案例研究为指导 肺部疾病以及预防传染病，新兴感染和免疫介导的研究 研究。该项目在如何将主动培训结合在一起的最先进统计和数据方面具有创新性 科学技术使用与特定案例研究应用相关的有效教育平台以及 职业发展的机会。我们的项目很重要，因为发展劳动力知识渊博 心脏和肺部疾病的生物统计和数据科学应用以及感染性的研究 疾病预防，新出现的感染和免疫介导的研究越来越多 提高生物医学创新的效率和可靠性的需求；这个项目代表了一个重要的 一步满足这一需求。