Interdisciplinary Training Program in Biostatistics and Personalized Medicine

生物统计学和个性化医疗跨学科培训项目

• 批准号: 8267567
• 负责人: RICHARD ALLEN OLSHEN
• 金额: $ 8.93万
• 依托单位: STANFORD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-07-01 至 2017-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8267567
• 关键词: Biometry; Medicine; Training Programs

DESCRIPTION (provided by applicant): This proposal outlines a new pre-doctoral training program in biostatistics that emphasizes applications to genomics and personalized medicine. Primary faculty members are from the Departments of Health Research & Policy and Statistics at Stanford University. A group of affiliate faculty from biochemistry, genetics, cardiology and other areas provide the necessary breadth for interdisciplinary research. The trainees in the program pursue a PhD in the Department of Statistics, with a concentration in Biostatistics; this option currently not available at Stanford. In addition to fulfilling the requirements of the PhD i Statistics, the proposed program will include additional course work in biomedical sciences, mentored research experienced in a collaborative setting, and training in the responsible conduct of research. PUBLIC HEALTH RELEVANCE: Narrative Medicine increasingly relies on high-throughput technologies in an effort to provide personalized care, targeting therapies to the specific characteristics of each patient. To translate the output of these modern technologies into information useful for medical practice, one needs to mine and understand large and complex datasets. The program that we propose will equip students with state-of-the-art methods for experimental design and data analysis, and will train them in the art of effective collaboration with medical scientists and biologists. Trainees will be empowered to take on the challenge of analyzing novel complex datasets, and from this, extract information and knowledge with the potential for improving patient care and public health.

描述（由申请人提供）：该提案概述了一个新的生物统计学博士前培训计划，强调基因组学和个性化医学的应用。主要教员来自斯坦福大学卫生研究与政策系和统计系。一群来自生物化学，遗传学，心脏病学和其他领域的附属教师为跨学科研究提供了必要的广度。该计划的受训人员在统计系攻读博士学位，集中在生物统计学;目前斯坦福大学没有这种选择。除了满足博士i统计学的要求，拟议的计划将包括在生物医学科学，指导研究经验丰富的协作环境中的额外课程工作，并在负责任的研究行为的培训。 公共卫生相关性：叙事医学越来越依赖于高通量技术，以提供个性化的护理，针对每个患者的具体特征进行治疗。为了将这些现代技术的输出转化为对医疗实践有用的信息，人们需要挖掘和理解大型复杂的数据集。我们提出的计划将为学生提供最先进的实验设计和数据分析方法，并将培养他们与医学科学家和生物学家有效合作的艺术。学员将有能力接受分析新的复杂数据集的挑战，并从中提取具有改善患者护理和公共卫生潜力的信息和知识。