CUBE: A Collaborative Undergraduate Biostatistics Experience to Diversify and Bring Awareness to the Field of Collaborative Biostatistics

项目摘要/摘要 生物统计学是指数学和统计方法在生物和医学中的应用 科学。尽管生物统计学领域的就业人数预计将在未来十年内增长，但 代表性不足的少数族裔(URM)，包括黑人或非裔美国人、西班牙裔或拉丁裔、美国印第安人 或阿拉斯加原住民、夏威夷原住民和其他太平洋岛民民族，在以下领域获得研究生学位 生物统计学和其他与STEM相关的领域仍然很低。投入的教职员工和同行支持以及本科生 研究经验被证明是留住STEM专业URM学生的关键，以及 他们对未来在STEM相关领域的职业感兴趣。目前，夏季没有结构化的循证证据 URM本科生有专门针对成瘾研究的协作生物统计学研究机会 学生们。尽管所有学科都适用，但协作生物统计学家的作用尤其重要。 在成瘾研究中很重要，考虑到通常解决的问题类型，例如使用复合体 研究设计，大量知情的缺失数据和研究退出，以及量化的需要 复杂的行动机制或潜在的关系。这项拟议研究的具体目标和 教育计划是：1)为城市管理本科生实施为期8周的暑期计划 提高对生物统计学家在成瘾研究中合作必要性的认识；以及2) 使成瘾研究中的协作生物统计领域多样化。由Lent，Brown和Hackett‘s指导 (1994)社会认知职业理论(SCCT)概念框架，协作型本科生 生物统计经验(CUBE)方案建立在以下四个支柱之上：1)入门培训 生物统计学；2)R编程培训；3)专业发展；4)合作研究项目 解决成瘾领域的研究问题。与经验丰富的协作伙伴密切合作 生物统计学家，成瘾领域的顶尖专家，同行和研究生导师，参与者将 有机会了解与客户沟通和协作所面临的挑战 多学科团队科学环境中的研究人员。这些活动为 学员有信心和知识申请并成功申请研究生院和职业生涯 生物统计学和/或成瘾研究。立方体参与者将：完善他们的统计沟通和 通过在研究研讨会上展示他们的研究项目成果来展示技能；从参与中受益 在研究生院的申请准备活动中；向美国人提供为期一年的会员资格 统计协会(ASA)，从而扩大其专业网络和机会；鼓励 参加学术会议，提供与其他本科生和毕业生交流的机会 学生，以及教师导师，有相似的兴趣。

Project Summary/Abstract Biostatistics refers the application of mathematical and statistical methods to the biological and medical sciences. Although employment in biostatistics is expected to grow over the next ten years, the percentage of underrepresented minorities (URM), including Black or African American, Hispanic or Latino, American Indian or Alaska Native, Native Hawaiian, and other Pacific Islander ethnic groups, earning graduate degrees in biostatistics and other STEM-related fields remains low. Invested faculty and peer support and undergraduate research experiences are shown to be critical to the retention of URM students in STEM majors, as well as their interest in future careers in STEM-related fields. Currently, no structured evidence-based summer research opportunities in collaborative biostatistics specific to addiction research exist for URM undergraduate students. Although generally true for all disciplines, the role of a collaborative biostatistician is particularly important in addiction research given the types of problems commonly addressed, such as the use of complex study designs, large amounts of informed missing data and study dropout, along with the need to quantify complex mechanisms of action or underlying relationships. The specific aims of this proposed research and education program are to: 1) implement an 8-week summer program for URM undergraduate students in STEM that generates awareness of the necessity for collaborative biostatisticians in addiction research; and 2) diversify the field of collaborative biostatistics in addiction research. Guided by Lent, Brown, and Hackett’s (1994) Social Cognitive Career Theory (SCCT) conceptual framework, the Collaborative Undergraduate Biostatistics Experience (CUBE) program is built on the following four pillars: 1) training in introductory biostatistics; 2) training in R programming; 3) professional development; and 4) a collaborative research project addressing research questions in the area of addiction. Working closely with experienced collaborative biostatisticians, leading experts in the areas of addiction, peer and graduate student mentors, participants will be provided the opportunity to learn about the challenges of communicating and working collaboratively with researchers in a multi-disciplinary team science environment. These activities provide a foundation for participants to have the confidence and knowledge to apply to, and succeed in, graduate school and careers in biostatistics and/or addiction research. CUBE participants will: refine their statistical communication and presentation skills by presenting their research project findings at research symposiums; benefit from engaging in graduate school application preparation activities; be provided with a one-year membership to the American Statistical Association (ASA), and thus expand their professional network and opportunities; be encouraged to attend an academic conference, providing an opportunity to network with other undergraduate and graduate students, as well as faculty mentors, with similar interests.