The Applied Statistics in Biological Systems (ASIBS) Short Course

生物系统应用统计学（ASIBS）短期课程

• 批准号: 9059139
• 负责人: Emilia Bagiella
• 金额: $ 16.77万
• 依托单位: ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-05-01 至 2020-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9059139
• 关键词: Academic Medical Centers; Area; Attitude; Behavioral Research; Biological; Biometry; Clinic; Clinical; Clinical Investigator; Clinical Research; Collaborations; Communities; Complement; Complex; Comprehension; Critical Thinking; Cross-Sectional Studies; Data; Data Analyses; Databases; Distance Learning; Educational Curriculum; Educational process of instructing; Elements; Ensure; Environment; Ethnic group; Faculty; Familiarity; Foundations; Future; Gatekeeping; Goals; Health; Hour; Institution; Instruction; Internet; Knowledge; Leadership; Linear Regressions; Literature; Logistic Regressions; Logistics; Master of Science; Medical; Medical Students; Medicine; Methods; Mission; Modification; National Institute of General Medical Sciences; Participant; Patients; Persons; Phase; Probability; Problem Solving; Productivity; Publishing; Recruitment Activity; Registries; Research; Research Design; Research Personnel; Research Project Grants; Resources; Respondent; Sampling; Series; Statistical Computing; Training; Underrepresented Minority; United States; base; biological systems; care delivery; career; college; computerized tools; exercise program; graduate medical education; grasp; hands on instruction; lectures; medical schools; member; operation; prevent; programs; racial and ethnic; response; skills; social; statistics; theories; tool

 DESCRIPTION (provided by applicant): As clinical researchers at academic medical institutions across the United States increasingly become the gatekeepers of substantially complex patient databases and registries, they often lack the statistical expertise needed to utilize these data for research as well as clinical purposes. Not only does a lack of statistical knowledge prevent clinical researchers from correctly analyzing data from their own research projects, but this inadequacy can also inhibit their ability to accurately interpret published statistical findings in the medical literature. In response to PA11351, (R25), we propose to establish the Applied Statistical Independence in Biological Systems (ASIBS) Short Course to provide members of the academic medical community nationwide with the opportunity to increase their methodological capacity through short, yet rigorous, statistical training. Specifically we propose to accomplish the following specific aims: 1. Develop and implement the ASIBS Short Course for faculty and fellows from academic medical centers nationwide using a series of synchronous and asynchronous internet based lectures and a five day in person SAS lectures and applications. 2. Establish a Diversity Recruitment Advisory Board to ensure that the most effective strategies are employed to recruit underrepresented minority faculty and fellows from academic medical institutions into the ASIBS Short Course. 3. Enhance the dissemination phase of the ASIBS Short Course by packaging and uploading the asynchronous lectures and online critical thinking/problem solving assessments for free on commonly used online teaching resources, including MOOC, Coursera, and YouTube platforms. 4. Implement methods to evaluate the efficacy of the ASIBS Short Course by examining 1) the competencies and skills gained by the ASIBS Short Course participants, 2) the clarity and quality of the curriculum, 3) program logistics and operations, and 4) both the short term and long term applications of the ASIBS Short Course. The ASIBS Short Course will provide participants with a much needed foundation in applied statistical theory and statistical computing to answer important questions related to biological, social, and behavioral research. We believe that the ASIBS Short Course supports the mission of the National Institute of General Medical Sciences by enhancing the research capacity, thus increasing the productivity, of current and future leaders in academic medical environments.

 描述（由申请人提供）：随着美国学术医疗机构的临床研究人员越来越多地成为相当复杂的患者数据库和登记的守门人，他们往往缺乏将这些数据用于研究和临床目的所需的统计专业知识。缺乏统计知识不仅会妨碍临床研究人员正确分析自己研究项目的数据，而且这种不足也会抑制他们准确解释医学文献中已发表的统计结果的能力。 为了响应PA 11351，（R25），我们建议建立生物系统应用统计独立性（ASIBS）短期课程，为全国学术医学界的成员提供通过短期但严格的统计培训提高方法学能力的机会。具体而言，我们建议实现以下具体目标： 1.为全国学术医疗中心的教师和研究员开发和实施ASIBS短期课程，使用一系列同步和异步的基于互联网的讲座和为期五天的SAS讲座和应用程序。 2.建立一个多元化招聘咨询委员会，以确保采用最有效的战略，从学术医疗机构招聘代表性不足的少数民族教师和研究员进入ASIBS短期课程。 3.通过打包和上传 异步讲座和在线批判性思维/问题解决评估，免费使用在线教学资源，包括MOOC，Coursera和YouTube平台。 4.实施方法来评估ASIBS短期课程的有效性，通过检查1）ASIBS短期课程参与者获得的能力和技能，2）课程的清晰度和质量，3）计划物流和操作，以及4）ASIBS短期课程的短期和长期应用。 ASIBS短期课程将为参与者提供应用统计理论和统计计算方面急需的基础，以回答与生物，社会和行为研究相关的重要问题。 我们相信，ASIBS短期课程通过提高研究能力，从而提高学术医学环境中当前和未来领导者的生产力，支持国家综合医学科学研究所的使命。