Interdisciplinary Training for Biostatisticans

生物统计学在医学、生物医学和公共卫生研究中起着重要作用。仅医疗技术的进步就大大增加了对训练有素的生物统计人员的需求，以证明基本的科学知识、有效性和可行性。越来越需要对生物统计学家进行广泛领域的培训，包括生物科学、定量科学和临床应用。医学和生命科学领域的研究人员表示，他们越来越需要受过生物学背景和较强沟通能力以及定量技能培训的应用生物统计学家。大多数应用生物统计学家在需要跨学科知识和强大沟通技能的协作环境中工作，但大多数人没有接受生物学和生物信息学方面的培训。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。 该培训补助金提案的目标是为生物统计学的博士后，博士前学生制定和实施培训计划，这将为定量技能，生物学，应用研究和接触道德研究的正确行为提供强大的背景。我们提出了一个为期三年的计划，将包括课程工作主要是在前两年沿着在生物信息学，遗传学实验室，机构审查委员会和临床试验的轮换。在第三年，学生将在应用研究项目中担任研究助理，在一个环境中获得重要经验，该环境将为跨学科研究提供出色的经验，并为论文主题的发展奠定基础。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。

DESCRIPTION (provided by applicant): Biostatistics plays a fundamental role in medical, biomedical and public health research. Advances in medical technology alone have substantially increased the demand for trained biostatisticians to demonstrate basic scientific knowledge, effectiveness and feasibility. There is a growing need for biostatisticians to be trained in a broad range of fields, including the biological sciences, quantitative sciences and clinical applications. Researchers in the medical and life sciences are expressing a growing need for applied biostatisticians who are trained with a background in biology and strong communication skills as well as quantitative skills. Most applied biostatisticians function in collaborative environments that require interdisciplinary knowledge and strong communication skills, but most do not receive training in biology and bioinformatics. Not only do biostatisticians need to be trained how to apply the wide range of quantitative methods that are needed in biomedical research, but they also need an understanding of the biological basis for disease and the biological measures that are collected in biomedical research. The goal of this training grant proposal is to develop and implement a training program for post-bachelors, pre-doctoral students in biostatistics that will provide a strong background in quantitative skills, biology, applied research and exposure to the proper conduct of ethical research. We propose a three year program that will include course work primarily in the first two years along with rotations in bioinformatics, genetics laboratories, Institutional Review Board, and clinical trials. In the third year the students will work as a research assistant in on an applied research project gaining important experience in an environment that will provide excellent experience in interdisciplinary research and a basis for the development of their thesis topics. This program will produce students not only with classroom exposure to quantitative skills, but also practical experience as a functioning biostatistician.