Biostatistics Training for Research in the Biosciences

描述（由申请人提供）：提出一项培训计划，以增加生物统计学家在生物科学关键应用领域的参与。本课程的学生不仅将学习现代统计学的强大方法，还将学习遗传学、生物学和生物信息学的结构化课程。该计划将分为两部分：第一部分将继续在分子生物学和生物信息学方面进行进一步的一系列课程；第二部将根据学生的方向，继续在流行病学、临床和/或行为研究领域开设进一步的课程。该培训计划的目的是为生物统计学家提供必要的科学知识和经验，以了解当前生物科学中的问题，并能够作为跨学科团队的关键成员参与。拟议培训计划的目标是让获得生物统计学博士学位的学生(i)对生物科学研究有扎实的理解和经验，（ii）与生物科学研究人员沟通和合作的经验和能力，（iii）了解需要创新统计研究的科学学科的最新发展，以及（iv）独立研究技能。我们建议第一年培养4名博士预科生，之后四年每年培养6名。这个培训项目是跨学科的。它将包括实践经验和生物科学领域研究项目的实验室轮岗。学生将在具有生物统计学专业知识的教师和来自生物科学的研究人员的指导下，发展作为生物统计学家全面参与这些项目的能力。该计划将重点放在生物科学应用中的高级统计建模。一个新的博士课程将开发随机过程，包括在生物科学中的应用。该培训项目由密歇根大学生物统计系和其他11个系的参与和相关教师提供支持。

DESCRIPTION (provided by applicant): A training program is proposed to increase the participation of biostatisticians in key application areas of the biosciences. Students in this program will be educated not only in the powerful methods of modern statistics, but also in a structured sequence of courses in genetics, biology and bioinformatics. The program will have two streams: the first will continue with a further series of courses in molecular biology and bioinformatics; the second will continue with further courses, depending on the orientation of the student, in areas of epidemiology, clinical and/or behavioral research. The purpose of this training program is to provide biostatisticians with the requisite scientific knowledge and experiences to understand current issues in the biosciences, and to be able to participate as key members of interdisciplinary teams. The goals of the proposed training program are to give students who are obtaining a Ph.D. in Biostatistics (i) a solid understanding of and experience in research in the Biosciences, (ii) experience and ability to communicate and collaborate with researchers working in the Biosciences, (iii) an understanding of recent developments in the scientific disciplines that require innovative statistical research, and (iv) independent research skills. We propose to have four predoctoral trainees in year 1, and six in each of the four subsequent years. This training program is interdisciplinary in character. It will include practical experience and lab rotations to research projects in areas of the biosciences. The student will develop the ability to participate fully as a biostatistician in these projects under the mentorship of a faculty member with expertise in biostatistics and researcher from the biosciences. The program will have an emphasis on high level statistical modeling in applications in the biosciences. A new Ph.D. course will be developed in stochastic processes including applications in the biosciences. The training program is supported by participating and associated faculty from the Department of Biostatistics and eleven other Departments at the University of Michigan.