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

这个生物统计学研究培训项目的目标是建立和提供一个国际化的 在生物统计学理论和方法论方面很强的公认的博士前、跨学科课程，以及 还将生物统计学培训与生物和计算科学的基础知识结合起来。它是 旨在为学员在跨学科研究团队中担任领导角色做好准备，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。该计划 将为21世纪培养出对生物学有高度理解的生物统计学家 科学，良好的计算机科学知识，并能有效地与科学家和临床医生合作 参与了影响公众健康的问题。该计划的目标是：1)识别和招募 学员来自不同的科学背景，具有很强的量化技能，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 科学和发展扎实的书面和口头沟通技能，以及，3)发展和建立 培养21世纪生物统计学家的生物统计学跨学科研究培训计划。 众所周知，目前对生物统计师的需求远远超过了供应，而这一缺口是 预计会扩大。迫切需要能够与生物学家有效合作的生物统计学家 生物医学科学家致力于改善公众健康。目前的生物统计学培训计划不能满足 差额。拟议的研究培训方案通过培训解决生物统计学家短缺的问题。 16个人，但更重要的是，它创建了一个可移植的课程，确保下一个 新一代生物统计学家可以充分参与现代生物学研究和公共卫生 他们将熟练地认识到并进行必要的统计创新。这次培训 该提案代表了包括生物学在内的多个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。的关键组件 课程包括(1)正规课程作业，(2)生物学、计算生物学、统计学的轮换 咨询及医疗和行为研究单位；(3)其他互动场所，包括研讨会 和期刊俱乐部，以及(4)论文工作。

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.