The Applied Statistics in Biological Systems (ASIBS) Short Course

生物系统应用统计学（ASIBS）短期课程

基本信息

批准号：
9241407
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
项目类别：
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/9241407
关键词：
Academic Medical Centers Area Attitude Behavioral Research Biological Biometry Categories Clinic Clinical Clinical Investigator Clinical Research Collaborations Communities Competence 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 Exercise Faculty Familiarity Foundations Future Gatekeeping Goals Hour Institution Instruction Internet Knowledge Leadership Linear Regressions Literature Logistic Regressions Logistics Master of Science Medical Medical Students Medicine Methodology 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 graduate medical education grasp hands on instruction lectures medical schools member operation prevent programs public health relevance racial and ethnic response skills social statistics theories tool

项目摘要

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日益成为极其复杂的患者数据库和登记的看门人，他们往往缺乏将这些数据仅用于研究和临床目的所需的统计专业知识。缺乏统计知识是否会妨碍临床研究人员正确分析自己研究项目的数据，但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 PA11351 (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来提高其方法能力的机会具体来说，我们建议实现以下具体目标： 1. 通过一系列同步和异步互联网讲座以及为期五天的面对面 SAS 讲座和应用，为全国学术医疗中心的教职人员和研究员开发和实施 ASIBS 短期课程。 2. 建立多元化招聘咨询委员会，以确保采用最有效的策略从学术医疗机构招聘代表性不足的少数族裔教职人员和研究员进入 ASIBS 短期课程。 3.通过打包上传ASIBS短期课程，加强ASIBS短期课程的传播阶段在常用在线教学资源（包括 MOOC、Coursera 和 YouTube 平台）上免费提供异步讲座和在线批判性思维/问题解决评估。 4. 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) 项目后勤和运营，以及 4) 实施评估 ASIBS 短期课程有效性的方法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急需的应用统计理论和统计计算基础，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 短期课程通过增强研究能力来支持国家普通医学科学研究所的使命，从而提高学术医学环境中当前和未来领导者的生产力。