Atlanta Summer Institute for Training in Biostatistics

描述(由申请人提供)： 拟议的培训计划旨在招募、激励和接触生物统计学领域具有数量经验的本科生，并增加前一轮SIBS计划资助的成功项目的集合。拟议的亚特兰大计划专注于开发生物统计概念以激励生物统计技能，与许多现有的学位计划形成对比，这些学位计划旨在培训卫生专业人员(而不是本科生)使用特定的一套生物统计技能，这些技能是从生物医学研究中预先存在的一套概念和经验建立起来的。我们不忽视统计技能的培训，而是使用概念来激励技能，并保持对潜在医学应用的关注。因此，我们使用计算机软件来实施和说明概念，并从实际数据集(疣和所有)中得出实质性结论，从而训练参与者使用潜在概念来推动他们寻找解决医学研究问题的适当技能，而不是修改基础医学问题以适应静态的生物统计技能集。具体做法：通过拟议的暑期研究所和获奖入门教师以及活跃的生物统计和医学研究人员的动态收集，我们的目标是：1.通过实例证明生物统计学是一门具有挑战性和协作性的学科，对医学研究中的适当设计、进行和分析至关重要；2.让参与者接触到关键的生物统计概念、应用程序和软件；3.为参与者提供数据分析、统计软件、协作研究、科学写作和科学演示的实践经验；以及4.让参与者在各种领域和环境中接触到由NIH资助的经验丰富的生物医学研究人员。相关性：该培训计划每年通过为期六周的教学、实验室、项目和实地考察，将20名本科生从量化和计算研究领域引入生物统计学领域，最终目的是增加他们对生物统计学研究生学习和未来职业生涯的兴趣和参与。(摘要结束)

DESCRIPTION (provided by applicant): The proposed training program aims to recruit, motivate, and expose quantitatively experienced undergraduate students to the field of Biostatistics, and to add to the collection of successful programs funded under the previous round ofthe SIBS program. The proposed Atlanta-based program focuses on developing biostatistical concepts to motivate biostatistical skills, in constrast to many existing degree programs for training health professionals (rather than undergraduate students) in the use of particular set of biostastistical skills building from a pre-existing set of concepts and experiences in biomedical research. We do not ignore training in statistical skills, but use concepts to motivate skills and maintain focus on the underiying medical applications. As a result, we use computer software to implement and illustrate the concepts and to derive substantive conclusions from actual data sets (warts and all) thereby training participants to use underlying concepts to drive their search for appropriate skills addressing medical research questions rather than modify an underlying medical question to fit a static set of biostatistical skills. Specific Alms: Through the proposed summer institute and a dynamic collection of award-winning introductory instructors and active biostatistical and medical researchers, we aim to: 1. demonstrate by example that Biostatistics is a challenging and collaborative discipline essential to the proper design, conduct, and analysis in medical research; 2. expose participants to key biostatistical concepts, applications, and software; 3. provide participants with hands-on experience with data analysis, statistical software, collaborative research, scientific writing, and scientific presentation; and 4. provide participants with exposure to experienced NIH-funded biomedical researchers in a variety of fields and settings. RELEVANCE: The training program introduces 20 undergraduate students each year from quantitative and computational fields of study to the area of Biostatistics through a six-week course of instruction, labs, projects, and field trips, with the ultimate aim of increasing their interest and participation in graduate study and future careers in Biostatistics. (End of Abstract)