Predoctoral Research Training in Biostatistics at the University of Missouri-Colu

密苏里大学科鲁分校生物统计学博士前研究培训

• 批准号: 7886115
• 负责人: Jianguo TONY Sun
• 金额: $ 8.3万
• 依托单位: UNIVERSITY OF MISSOURI-COLUMBIA
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2011-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7886115
• 关键词: Biometry; Missouri; Research Training; Universities; pre-doctoral

This biostatistics research training program's goal is to establish and provide an internationally recognized predoctoral, interdisciplinary program that is strong in biostatistical theory and methodology, and also integrates biostatistics training with fundamentals in the biological and computational sciences. It is designed to prepare trainees for leadership roles in interdisciplinary research teams working on, for example, problems in bioinformatics, genetics, molecular biology, medicine and computational biology. The program will produce biostatisticians for the 21st century who have a high level of understanding of the biological sciences, a good knowledge of computer science and who can work effectively with scientists and clinicians engaged in problems that impact public health. The aims of this program are 1) to identify and recruit trainees from diverse scientific backgrounds and with strong quantitative skills, 2) to train students to master essential core biostatistics theory and methods, learn fundamental material in biology and computational science and develop solid communication skills - both written and oral, and, 3) to develop and establish a model interdisciplinary research training program in biostatistics that produces 21st century biostatisticians. It is well-known that the current demand for biostatisticians far exceeds the supply, and this gap is expected to widen. There is a critical need for biostatisticians who can effectively work with biologists and biomedical scientists to improve public health. Current biostatistics training programs cannot satisfy the shortfall. The proposed research training program addresses the short supply of biostatisticians by training 16 individuals, but more importantly, it creates a transportable curriculum that assures that the next generation of biostatisticians can participate fully in modern biological research efforts and public health initiatives, and that they will be adept at recognizing and making needed statistical innovations. This training proposal represents a cooperative effort among scientists from a number of disciplines including biology, computer science, psychological sciences, genetics and health psychology. The key components of the program include (1) formal course work, (2) rotations in biology, computational biology, statistical consultancies and in medical and behavioral research units, (3) other interactive venues including seminars and journal clubs, and (4) dissertation work.

这个生物统计学研究培训计划的目标是建立和提供一个国际 公认的博士前，跨学科的计划，是在生物统计理论和方法学强， 还将生物统计学培训与生物和计算科学的基础知识相结合。是 旨在培养学员在跨学科研究团队中发挥领导作用，例如， 生物信息学、遗传学、分子生物学、医学和计算生物学中的问题。程序 将培养出世纪的生物统计学家，他们对生物统计学有很高的理解。 科学，计算机科学的良好知识，谁可以与科学家和临床医生有效地工作 参与影响公众健康的问题。该计划的目的是1）识别和招募 学员来自不同的科学背景和强大的定量技能，2）培养学生掌握 基本的核心生物统计学理论和方法，学习生物学和计算的基础材料 科学和发展坚实的沟通技巧-书面和口头，和，3）发展和建立一个 生物统计学的跨学科研究培训计划，培养21世纪世纪的生物统计学家。 众所周知，目前对生物统计学家的需求远远超过供应，这一缺口是 预计将扩大。迫切需要能够与生物学家有效合作的生物统计学家， 生物医学科学家来改善公众健康。目前的生物统计学培训计划不能满足 短缺。拟议的研究培训计划通过培训解决生物统计学家的短缺问题 16个人，但更重要的是，它创建了一个可移动的课程，确保下一个 一代生物统计学家可以充分参与现代生物研究工作和公共卫生 他们将善于认识和作出必要的统计创新。本次培训 该提案代表了来自包括生物学在内的许多学科的科学家之间的合作努力， 计算机科学、心理科学、遗传学和健康心理学。的关键部件 程序包括（1）正式课程的工作，（2）生物学，计算生物学，统计旋转 （3）其他互动场所，包括研讨会 和期刊俱乐部，和（4）论文工作。