Interdisciplinary Training for Biostatisticians

生物统计学家跨学科培训

• 批准号: 9285802
• 负责人: PAOLA SEBASTIANI
• 金额: $ 23.31万
• 依托单位: BOSTON UNIVERSITY MEDICAL CAMPUS
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-07-01 至 2020-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9285802
• 关键词: Training

 DESCRIPTION (provided by applicant): Many areas of research in basic, clinical and population sciences continue to demand well-trained biostatisticians who demonstrate scientific knowledge and competencies to be effective collaborators on multidisciplinary research projects. Not only do modern biostatisticians need to be trained on how to apply the wide range of quantitative methods that are needed in biomedical research, but they also need an understanding of the biological bases for diseases and of the biological measures that are collected in biomedical research. Recognizing the demand for biostatisticians with multiple skills, in 2005 we funded the Interdisciplinary Training for Biostatisticians Program with support from the NIGMS, with the goal of training biostatisticians by integrating traditional courses in statistical theory and study design, with courses in biology, and applied internships with biomedical investigators. Between fall 2005 and fall 2013, we trained 21 highly qualified students with excellent academic records and varying backgrounds in economics, mathematics, computer science, business administration and biology. Our trainees are supported by this training program for approximately 2 years, and transition to research assistant positions as they complete the Ph.D. program in typically an additional 3.5 years. By 2014, a total of 9 trainees have completed the Ph.D. program and progressed toward promising careers in academia, research groups in academic and non- academic settings, pharmaceutical companies and contract research organizations. All these trainees graduated with substantial experience in interdisciplinary research collaborations, 2-3 years teaching experience at different levels, a solid research record that includes an average of 18 publications in scientific journals, presentations at national and international conferences in statistics, genetics, clinical trials, and medically oriented conferences. We propose to continue this successful interdisciplinary training program and train 6 post-bachelors, pre- doctoral students per year. Our goals for the next cycle will be (1) to offer a two/three year program that will include coursework along with rotations in bioinformatics, genetics, ethical conduct of research, and clinical trials; (2) to maintain a training program that produces doctoral students in biostatistic with a strong background in statistical methods, biology, and experience in applied research and competencies to function in a fast changing world of data and emerging technologies; and (3) to equip biostatisticians who graduate from the program with a strong record of scientific publications, experience presenting at conferences, experience in interdisciplinary collaborations and in teaching, that prepare them for competitive careers in academia, industry and government. This program will produce students not only with classroom exposure to quantitative skills, but also practical experience as functioning biostatisticians.

 描述（由申请人提供）：基础，临床和人口科学的许多研究领域继续需要训练有素的生物统计学家，他们证明科学知识和能力是多学科研究项目的有效合作者。现代生物统计学家不仅需要接受如何应用生物医学研究所需的各种定量方法的培训，而且还需要了解疾病的生物学基础和生物医学研究中收集的生物学措施。认识到对具有多种技能的生物统计学家的需求，2005年，我们在NIGMS的支持下资助了生物统计学家跨学科培训计划，目标是通过整合统计理论和研究设计的传统课程，生物学课程以及生物医学研究人员的应用实习来培训生物统计学家。在2005年秋季至2013年秋季期间，我们培养了21名高素质的学生，他们具有优异的学习成绩和经济学、数学、计算机科学、工商管理和生物学等不同背景。我们的学员将接受为期约2年的培训，并在完成博士学位后过渡到研究助理职位。通常在3.5年内完成。截至2014年，共有9名学员完成博士学位。在学术界、学术和非学术环境中的研究小组、制药公司和合同研究组织中，计划并朝着有前途的职业发展。所有这些学员毕业时都具有跨学科研究合作的丰富经验，2-3年的不同层次的教学经验，扎实的研究记录，包括平均18篇科学出版物， 期刊，在统计学、遗传学、临床 试验和医学会议。我们建议继续这一成功的跨学科培训计划，每年培养6名学士后，博士前学生。我们下一个周期的目标将是（1）提供一个为期两年/三年的计划，其中将包括课程沿着生物信息学，遗传学，研究伦理行为和临床试验的轮换;（2）维持一个培养生物统计学博士生的培训计划，这些博士生具有统计方法，生物学，在应用研究方面的经验和能力，在快速变化的数据和新兴技术的世界中发挥作用;以及（3）使从该计划毕业的生物统计学家拥有良好的科学出版记录，在会议上发表的经验，在跨学科合作和教学经验，准备他们在学术界，工业界和政府竞争的职业生涯。该计划将使学生不仅在课堂上接触定量技能，而且还具有作为功能生物统计学家的实践经验。