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所在平台: Udemy |
课程主页: https://www.udemy.com/course/statistical-interpretation-of-medical-research-results/
课程评论：没有评论
课程名称：医学研究结果的统计解读 课程概述：本课程旨在帮助学习者熟悉医学出版物中使用的统计度量和方法的解读。内容涵盖从简单的描述性特征（如均值和中位数）到循证医学指标、统计检验，特别是比例显著性检验，以及统计模型（线性和逻辑模型）。每节课提供了在已发表医学文章中使用这些度量和工具的实际例子。 学习内容：学习者将掌握如何解读医学出版物中的统计度量和方法，包括简单描述性特征、循证医学指标、统计检验以及统计模型等。课程以实际案例为基础，让学员了解如何在医学研究中应用这些统计工具。 适合人群：本课程主要面向接触医学出版物的人员，具体包括： - 参与临床研究的专业人士 - 发表医学论文的医生 - 医学领域的博士生 - 计划从事医学研究解读工作的人士，例如波兰科学院附属医学单位或其他实验室的员工。 关于我们：本课程由Aneta Piechaczek博士讲授，博士学位获得于管理与质量科学领域，曾在AGH大学应用数学经济学实验室工作，积累了丰富的统计分析经验。她是若干与数据分析和统计相关的科研论文的作者和合著者。同时，她在BioStat研究与发展中心担任统计师。 BioStat研究与发展中心是获得波兰企业与技术部注册的商业科研机构，具有研究与发展中心的地位。
This course aims to familiarize the learner with the interpretation of statistical measures and methods used in medical publications. It covers topics ranging from simple descriptive characteristics like mean and median to EBM indicators, statistical tests, especially tests of proportion significance, and statistical models (linear and logistic). Each lesson provides practical examples of using these measures and tools in published medical articles.What will you learn?This course aims to familiarize the learner with the interpretation of statistical measures and methods used in medical publications. It covers topics ranging from simple descriptive characteristics like mean and median to EBM indicators, statistical tests, especially tests of proportion significance, and statistical models (linear and logistic). Each lesson provides practical examples of using these measures and tools in published medical articles.Who this course is designed for:This course is intended primarily for individuals who have contact with medical publications, especially:• Professionals involved in clinical research• Publishing doctors• Doctoral students in medical fields• Individuals planning a career related to the interpretation of medical research, such as employees of medical units affiliated with the Polish Academy of Sciences or other laboratories.About usThe course is conducted by Aneta Piechaczek, PhD. Statistician and econometrician. In the years 2017-2021, an employee of the Laboratory of Applications of Mathematics in Economics AGH UST. PhD in the field of Management and Quality Science, developing in her dissertation the issues of more advanced statistical analyses in socio-economic sciences. In 2021, she was nominated for the Didactics Laurel of AGH university. Author and co-author of several scientific publications related to data analysis and statistics. Statistician of the BioStat Research and Development Center.BioStat Research and Development Center is among the commercial scientific institutions with the status of a Research and Development Center (Centrum Badawczo-Rozwojowe, CBR) registered by the Ministry of Entrepreneurship and Technology.
