Biostatistics: A Second Statistics Course Preparing Undergraduates for Research

生物统计学：为本科生的研究做好准备的第二门统计学课程

• 批准号: 0410586
• 负责人: Bessie Kirkwood
• 金额: $ 3.6万
• 依托单位: Sweet Briar College
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-07-15 至 2008-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0410586&HistoricalAwards=false
• 关键词: Biostatistics; Second; Statistics; Course; Preparing

Mathematics(21) This project develops a new Biostatistics course at Sweet Briar College, a liberal arts college for women, to support a newly established initiative for integrating mathematics and biology in the undergraduate curriculum. It completes the curriculum for two new minors in Statistics and Biomathematics.Intellectual merit. The project's intellectual merit lies in curriculum improvements that make widely used statistical methods available to students earlier in their education, that use modern, computing-intensive techniques, and that emphasize data and concepts over theory so that students will learn statistical thinking in a lively and interesting way. In addressing the needs of students it is known that undergraduates have more opportunities than ever to do research. In fact, research experience is an expectation for admission in many graduate programs. As students read research literature, plan experiments, and analyze data, they need to understand concepts and methods of statistics that lie beyond the scope of an introductory statistics course. Biostatistics is valuable preparation for students who plan to do graduate study in life sciences and medicine. However, liberal arts colleges seldom have the resources to offer more than a general introductory statistics course. Materials adapted include modules from the NSF-funded project "Beyond Traditional Statistical Methods" (NSF-9751644) on bootstrap estimates and logistic regression. These are computing-intensive statistical methods that have been widely adopted in scientific and engineering research but have not yet become common in the undergraduate statistics curriculum.The course employs active learning through lab exercises, projects, group problem solving and discussion, and demonstrations based on data generated in class. Activities adapted from Teaching Statistics: A Bag of Tricks and the Statistics Teaching and Resource Library. Broader impact. The new course in Biostatistics serves as a model for other liberal arts institutions. It builds on curriculum changes that are already in progress at Sweet Briar College and is a required course for two new minor programs in Biomathematics and in Statistics. The course is a component of a larger program in biomathematics currently being developed by Sweet Briar College and the Center for Bio-mathematical Technology at the University of Virginia Medical School. The course outline, materials, and activities are posted on a course website for access by faculty members at other institutions.

该项目在斯威特布瑞尔学院（一所女子文理学院）开设了一门新的生物统计学课程，以支持一项新成立的将数学和生物学整合到本科课程中的倡议。它完成了统计学和生物数学两个新辅修课程。知识价值。该项目的智力优势在于课程的改进，使广泛使用的统计方法在学生的教育早期就可以使用，使用现代的计算密集型技术，强调数据和概念而不是理论，以便学生以生动有趣的方式学习统计思维。在满足学生的需求方面，众所周知，本科生比以往任何时候都有更多的机会做研究。事实上，研究经验是许多研究生项目录取的一项要求。当学生阅读研究文献、计划实验和分析数据时，他们需要理解统计的概念和方法，这超出了统计入门课程的范围。生物统计学对那些计划在生命科学和医学领域进行研究生学习的学生来说是很有价值的准备。然而，文理学院很少有资源提供一般的统计学入门课程以外的课程。改编的材料包括来自nsf资助的项目“超越传统统计方法”（NSF-9751644）关于bootstrap估计和逻辑回归的模块。这些是计算密集型的统计方法，在科学和工程研究中被广泛采用，但在本科统计课程中尚未普及。本课程通过实验练习、项目、小组问题解决和讨论，以及基于课堂数据的演示，采用主动学习的方式。活动改编自统计教学：一袋技巧和统计教学资源库。更广泛的影响。生物统计学的新课程为其他文科院校树立了榜样。它建立在斯威特布赖尔学院已经在进行的课程改革的基础上，是生物数学和统计学两个新的辅修课程的必修课。该课程是目前由斯威特布赖尔学院和弗吉尼亚大学医学院生物数学技术中心开发的一个更大的生物数学项目的一部分。课程大纲、材料和活动发布在课程网站上，供其他机构的教师访问。