Biostatistics Training with Application to Neuroscience

描述（由申请人提供）： 生物医学研究的各个层面都依赖于概率和统计学。如果研究设计和分析不合理，而统计理论又是健全的，那么，根据研究结果所作出的推论和结论，就会有偏差，甚至是无效的。在美国，生物统计学家严重短缺，因为生物医学研究界对他们的需求不断增长，过去几十年来毕业的博士生生物统计学家的比例相对稳定。在神经科学领域工作的博士水平的生物统计学家是稀缺的。为了在不断扩大的神经科学研究领域保持卓越，必须通过对有兴趣从事学术和研究事业的研究员和学生进行跨学科培训来缓解这种短缺。此外，教育神经科学家在生物统计方法将提高他们的研究质量，确保与分析技能和统计输入的赞赏熟练的坚实基础。南卡罗来纳州医科大学的生物统计学、生物信息学和流行病学系（DBBE）要求为一个专门用于神经科学应用生物统计学培训（BTAN）的教育计划提供资金。该计划将培养博士前和博士后水平的候选人。博士前学员将获得生物统计学博士学位，从事论文研究，重点是生物统计方法，直接应用于神经科学研究。博士后研究员将是临床或基础科学培训的神经科学家，他们将开发与其特定神经科学研究相关的生物统计方法和技术的广泛工作知识。他们将通过成功完成DBBE的临床研究（临床神经科学家）或生物医学科学（基础神经科学家）硕士学位课程来实现这一目标。自20世纪70年代初以来，DBBE一直提供生物统计学博士和硕士学位课程。它拥有完善的行政和研究基础设施，以容纳和支持BTAN计划。BTAN计划包括生物统计学和神经科学的教学指导和连续性培训，所有研究项目都专门侧重于生物统计学在神经科学中的应用。在生物统计学应用于神经科学问题方面具有显着优势的DBBE教师担任BTAN学员的主要导师，与MUSC神经科学研究所的临床和基础科学教师合作，他们在各自的神经科学和医学领域担任副导师和专家。

DESCRIPTION (provided by applicant): Biomedical research at every level relies on probability and statistics. Without proper research design and analysis based on sound statistical theory, inferences and conclusions made from the results of the study would be biased and even invalid. In the United States, there is a severe shortage of biostatisticians because of a combination of growing demand for them by the biomedical research community and a relatively steady rate of graduating doctoral level biostatisticians over the last couple of decades. Doctoral level biostatisticians working in the neuroscience field are scarce. In order to maintain excellence in the expanding neuroscience research field, this shortage must be alleviated through interdisciplinary training of fellows and students interested in pursuing academic and research careers. Furthermore, educating neuroscientists in biostatistical methodology will enhance the quality of their research by ensuring a firm foundation of proficiency with analytical skills and appreciation for statistical input. The Department of Biostatistics, Bioinformatics and Epidemiology (DBBE) at the Medical University of South Carolina (MUSC) requests funds for an educational program dedicated to Biostatistics Training with Application to Neuroscience (BTAN). This program will train candidates at both pre- and post-doctoral levels. Pre-doctoral trainees will earn a PhD degree in biostatistics, undertaking dissertation research focused on biostatistical methodology with direct application to neuroscience research. The post-doctoral fellows will be clinically- or basic science-trained neuroscientists who will develop a broad working knowledge of biostatistical approaches and techniques pertinent to their specific neuroscience investigations. They will achieve this through successfully completing a Master's degree program in clinical research (for clinical neuroscientists) or biomedical sciences (basic neuroscientists) in DBBE. DBBE has offered doctoral and master's level degree programs in biostatistics since the early 1970s. It has a well established administrative and research infrastructure to house and support the BTAN Program. The BTAN Program consists of didactic instruction and adjunctive training in both biostatistics and the neurosciences, with all research projects focused specifically on the application of biostatistics to neuroscience. DBBE faculty members with significant strengths in the application of biostatistics to problems in neuroscience serve as primary mentors for the BTAN trainees, in partnership with clinical and basic science faculty in MUSC's Neuroscience Institute, who serve as associate mentors and experts in their respective fields of neuroscience and medicine.