BUSPH Interdisciplinary Training Program for Biostatisticians

BUSPH 生物统计学家跨学科培训项目

• 批准号: 10440325
• 负责人: Kathryn L Lunetta
• 金额: $ 31.22万
• 依托单位: BOSTON UNIVERSITY MEDICAL CAMPUS
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-07-01 至 2026-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10440325
• 关键词: Training Programs

PROJECT SUMMARY/ABSTRACT With the fast advances in technology in the last decade enabling the rapid accumulation of large quantities of data relevant to biomedical research, there is an urgent need to train the next generation of scientists with skills to correctly analyze and interpret these data while working closely in collaborative environments with other scientists. The Interdisciplinary Training Program for Biostatisticians provides critical training to build the next generation of leaders in biostatistics, who will guide the design of data collection, analysis of data, and interpretation and dissemination of the results. There is a need for biostatisticians who are not only strong methodologists, but also excellent communicators who are comfortable working in multidisciplinary settings. This training program provides strong training in interdisciplinary research, reproducibility methods, and the responsible conduct or research while supporting students in their professional and career development. Our training objectives are: A) to appoint four new and reappoint four current trainees with diverse backgrounds per year to a program that integrates rigorous theoretical statistical training with research experience in bioinformatics, genetics, observational studies and clinical trials, as well as additional training in biology and in reproducible, responsible and ethical conduct of research; B) to achieve a > 90% graduation rate within 5-6 years from the start of the PhD program among trainees; C) to maintain a program that produces biostatisticians trained in both standard biostatistical methods and emerging methodologies in biomedical research but also with applied research experience in an interdisciplinary working environment; D) to prepare biostatisticians who graduate from the program for competitive careers in academia, industry, and government via a curriculum that includes opportunities for a strong record of scientific publications, presentations at conferences, and experience in interdisciplinary collaborations, and teaching. The program seeks to recruit a diverse group of trainees and to provide a supportive environment where all trainees can thrive and succeed. This is done by creating a strong community, providing multiple mentors, and seeking regular feedback from trainees to identify opportunities to improve the program. Through mentored research rotations in multiple areas of biostatistical application, trainees receive hands-on experience in working in multidisciplinary teams performing research. They also receive formal training and mentorship in reproducible methods for conducting research and responsible conduct of research. This provides trainees with a breadth of exposure that is critical to prepare them to be leaders in biostatistics, a field that is highly collaborative and requires mastery of a wide range of areas of application and statistical methodologies. Trainees receive thorough career and professional development training. Regular feedback and evaluation of the program ensures that trainees are receiving excellent mentorship and that mentors receive feedback and opportunities to receive additional training. Trainees are encouraged to develop their own training plan and learn to become more autonomous throughout the program.

项目总结/摘要 随着过去十年技术的快速发展， 与生物医学研究相关的数据，迫切需要培养下一代科学家的技能， 正确分析和解释这些数据，同时与其他合作伙伴在协作环境中密切合作， 科学家生物统计学家跨学科培训计划提供关键培训，以打造下一个 培养生物统计学领域的领导者，他们将指导数据收集、数据分析的设计， 结果的解释和传播。需要的生物统计学家不仅要强壮 他们不仅是方法学家，也是优秀的沟通者，他们在多学科环境中工作很舒服。这 培训计划提供了跨学科研究，再现性方法， 负责任的行为或研究，同时支持学生的专业和职业发展。 我们的培训目标是：A）任命四名新的和重新任命四名具有不同背景的现有学员 该计划将严格的理论统计培训与研究经验相结合， 生物信息学、遗传学、观察性研究和临床试验，以及生物学和 可复制的，负责任的和道德的研究行为; B）在5-6年内实现> 90%的毕业率 从博士课程开始的学员; C）保持一个程序，产生生物统计学家的培训 在生物医学研究的标准生物统计方法和新兴方法中， 在跨学科的工作环境中的研究经验; D）准备生物统计学家谁毕业 从学术界，工业界和政府的竞争性职业计划，通过课程，包括 有机会在科学出版物，会议上的演讲和经验方面有良好的记录， 跨学科合作和教学。该计划旨在招募多样化的受训人员， 提供一个支持性的环境，让所有学员都能茁壮成长并取得成功。这是通过创建一个强大的 社区，提供多个导师，并定期征求学员的反馈意见，以确定机会， 改进方案。通过在生物统计应用的多个领域指导研究轮换， 学员在从事研究的多学科小组中获得实际工作经验。他们还 接受正规的培训和指导，以可复制的方法进行研究和负责任的行为 的研究。这为学员提供了广泛的接触，这对他们成为领导者至关重要。 生物统计学，一个高度合作的领域，需要掌握广泛的应用领域， 统计方法。受训人员接受全面的职业和专业发展培训。定期 对该计划的反馈和评估确保受训人员得到良好的指导， 指导者得到反馈和接受额外培训的机会。鼓励学员发展 他们自己的培训计划，并学会在整个计划中变得更加自主。