Preparing the Next Generation of Biostatisticians in the Era of Data and Translational Sciences

在数据和转化科学时代培养下一代生物统计学家

基本信息

批准号：
10219349
负责人：
Sujit Kumar Ghosh
金额：
$ 24.98万
依托单位：
NORTH CAROLINA STATE UNIVERSITY RALEIGH
依托单位国家：
美国
项目类别：
财政年份：
2019
资助国家：
美国
起止时间：
2019-08-01 至 2024-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10219349
关键词：
Address Adoption Area Attention Award Bioinformatics Biomedical Research Biometry Biostatistical Methods Clinical Collaborations Communities Complex Computational Biology Conceptions Data Data Science Development Discipline Electronic Health Record Enrollment Ensure Environment Evaluation Evidence Based Medicine Exposure to Faculty Future Genomics Goals Health Sciences Health system Imaging technology Institution International Joints Knowledge Learning Medical Imaging Medical center Methodology Methods Modeling Modernization Names National Heart, Lung, and Blood Institute North Carolina Observational Study Participant Play Policies Positioning Attribute Principal Investigator Program Effectiveness Request for Applications Research Research Personnel Research Training Resources Role Schools Science Scientist Statistical Methods Strategic Planning Structure Students Talents Training Training Programs Translational Research Translations Underrepresented Populations United States National Institutes of Health Universities analytical method big biomedical data career career development clinical trial analysis cohort computer science computerized tools data resource design education research experience field trip graduate student health science research innovation insight instructor interest investigator training laboratory experiment lectures lens machine learning method multidisciplinary next generation programs public health research recruit response skills sound statistical and machine learning statistics summer institute summer program summer research tool undergraduate student

项目摘要

PROJECT SUMMARY/ABSTRACT In the era of newly emerging computational tools for data science, biostatisticians need to play a fundamental role in health sciences research. There is an urgent need to encourage US Citizens and Permanent Residents to pursue graduate training in biostatistics. The design, conduct, and analysis of clinical trials and observational studies; the setting of regulatory policy; and the conception of laboratory experiments have been shaped by the fundamental contributions of biostatisticians for decades. Advances in genomics, medical imaging technologies, and computational biology; the increasing emphasis on precision and evidence-based medicine; and the widespread adoption of electronic health records; demand the skills of biostatisticians trained to collaborate effectively in a multidisciplinary environment and to develop statistical and machine learning methods to address the challenges presented by this data-rich revolutionary era of health sciences research. The proposed summer program which includes world-renowned clinical scientists and biostatisticians from two local universities, will provide an immense opportunity for student participants to learn basic yet modern statistical methods that are critical to uncovering new insights from such big and complex biomedical data and also illustrate the potential pitfalls of confounding and bias that may arise when analyzing biomedical data. A unique feature of the proposed training program is thus to expose the participants to not only basic statistical methods but also to the topics of computer science and bioinformatics which will be invaluable in creating the multidisciplinary teams required to tackle the complex research questions that often requires multipronged approaches. The proposed six-week training program will be structured around the NIH's Translation Science Spectrum and will introduce participants to opportunities in biostatistics through the lens of the science advanced by the contributions of biostatisticians. Following an initial set of weeks on basic training of biostatistical methods, the program will culminate in a data hack-a-thon style competition in which participants will employ the statistical and scientific knowledge gained during the program to produce the most innovative, statistically-sound, scientifically-relevant and effectively-communicated response to a set of research questions. The proposed research education program will enroll up to 20 such participants from across the nation and, through lectures, field trips, and opportunities to analyze data from real health sciences, inspire them to pursue graduate training. The program will draw upon considerable past collaborations and complementary resources of two local world-renowned universities to provide participants with an unparalleled view of the field, including award-winning instructors, internationally known methodological and clinical researchers, and a local area rich in opportunities to showcase careers in biostatistics. Special efforts will be made to enroll participants from underrepresented groups. Participants will be followed after completion, and the numbers attending graduate school in statistics and pursuing biostatistics careers will be documented.

项目摘要/摘要在新兴的数据科学计算工具的时代，生物统计学家需要发挥基本在健康科学研究中的作用。迫切需要鼓励美国公民和永久居民进行生物统计学研究生培训。临床试验的设计，行为和分析以及观察研究；制定监管政策；实验室实验的概念已经几十年来，由生物统计学家的基本贡献塑造。基因组学的进步，医学成像技术和计算生物学；越来越重视精确和基于证据的药品;并广泛采用电子健康记录；要求生物统计学家的技能经过培训可以在多学科环境中有效合作并开发统计和机器解决这个数据丰富的健康科学革命时代所面临的挑战的学习方法研究。拟议的夏季计划，其中包括世界知名的临床科学家和来自两所当地大学的生物统计学家将为学生参与者提供巨大的机会学习基本而现代的统计方法，对于从如此大而复杂的新见解至关重要生物医学数据，还说明了分析时可能出现的混杂和偏见的潜在陷阱生物医学数据。因此，拟议培训计划的独特功能是使参与者不仅基本的统计方法，也是计算机科学和生物信息学的主题创建经常解决复杂研究问题所需的多学科团队的宝贵值得需要多收益的方法。拟议的六周培训计划将围绕 NIH的翻译科学范围，并将通过生物统计学家的贡献提出的科学镜头。在基本的初始数周之后培训生物统计学方法，该计划将在数据骇客竞争中达到最终形式参与者将采用计划期间获得的统计和科学知识来生产最多创新的，统计的，与科学相关的，有效地交往的反应研究问题。拟议的研究教育计划最多将参加20名此类参与者在全国各地，通过讲座，实地考察和机会分析来自真正健康科学的数据，激发他们接受研究生培训。该计划将借鉴过去的大量合作和两所世界知名大学的互补资源，为参与者提供无与伦比的资源该领域的视图，包括屡获殊荣的讲师，国际知名的方法论和临床研究人员和一个地区丰富的机会来展示生物统计学的职业。特殊努力将是招募了代表性不足的群体的参与者。完成后将遵循参与者，就读统计研究生院并从事生物统计学职业的人数将有记录。