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

描述（由申请人提供）：该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项目，该项目具有很强的生物统计学理论和方法，并将生物统计学培训与生物和计算科学基础相结合。它的目的是培养学员在跨学科研究小组中担任领导角色，例如研究生物信息学、遗传学、分子生物学、医学和计算生物学方面的问题。该计划将培养21世纪的生物统计学家，他们对生物科学有很高的理解，对计算机科学有很好的了解，能够与从事影响公共卫生问题的科学家和临床医生有效地合作。该计划的目标是：1)识别和招收具有不同科学背景和较强定量技能的学员；2)培养学生掌握基本的核心生物统计学理论和方法，学习生物学和计算科学的基础材料，培养扎实的书面和口头沟通能力；3)开发和建立生物统计学跨学科研究培训计划，培养21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，这一差距预计将扩大。迫切需要能够有效地与生物学家和生物医学科学家合作以改善公共卫生的生物统计学家。目前的生物统计学培训计划无法满足这一不足。拟议的研究培训计划通过培训16个人来解决生物统计学家的短缺问题，但更重要的是，它创建了一个可移动的课程，确保下一代生物统计学家能够充分参与现代生物研究工作和公共卫生倡议，并且他们将善于识别和做出所需的统计创新。这项培训建议代表了来自生物学、计算机科学、心理学、遗传学和健康心理学等多个学科的科学家之间的合作努力。该计划的关键组成部分包括(1)正式的课程作业，(2)生物学，计算生物学，统计咨询以及医学和行为研究单位的轮转，(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。

DESCRIPTION (Provided by applicant): 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.