应用生物统计学导论:面向医学研究的统计学

Introduction to Applied Biostatistics: Statistics for Medical Research

Learn data analysis for medical research with practical hands-on examples using R Commander.

1130 次查看
大阪大学
edX
  • 完成时间大约为 6
  • 中级
  • 英语
注:因开课平台的各种因素变化,以上开课日期仅供参考

你将学到什么

Important topics in medical statistical concepts and reasoning

Epidemiological Study Designs

Data analysis using R Commander

课程概况

Want to learn how to analyze real-world medical data, but unsure where to begin? This Applied Biostatistics course provides an introduction to important topics in medical statistical concepts and reasoning. Each topic will be introduced with examples from published clinical research papers; and all homework assignments will expose learner to hands-on data analysis using real-life datasets. This course also represents an introduction to basic epidemiological concepts covering study designs and sample size computation. Open-source, easy-to-use software will be used such as R Commander and PS sample size software.

课程大纲

Week 1 Basic Statistical Concepts
Introduction to basic statistical concepts, such as descriptive statistics, hypothesis testing, how to enter data in to statistical software and how to use easy R interface.

Week 2 Basic Epidemiological Concepts
Introduction to basic epidemiological concepts, such as study designs as well as the difference between observational studies and randomized clinical trials.

Week 3 Selecting Proper Statistical Tests
Students will learn how to select a proper statistical test, given scenarios defined by various data types.

Week 4  Student T-Test, Man-Whitney U Test, Paired T-test, Wilcoxon Signed Rank Test
Students will learn how to compare means or medians between two groups.

Week 5 Risk, Rate and Chi-Square Tests
Students will learn how to analyze binary outcome data.

Week 6 Sample Size and Power Analysis
Introduction to basic concepts in computing sample sizes and estimation power for clinical studies.

千万首歌曲。全无广告干扰。
此外,您还能在所有设备上欣赏您的整个音乐资料库。免费畅听 3 个月,之后每月只需 ¥10.00。
Apple 广告
声明:MOOC中国十分重视知识产权问题,我们发布之课程均源自下列机构,版权均归其所有,本站仅作报道收录并尊重其著作权益。感谢他们对MOOC事业做出的贡献!
  • Coursera
  • edX
  • OpenLearning
  • FutureLearn
  • iversity
  • Udacity
  • NovoEd
  • Canvas
  • Open2Study
  • Google
  • ewant
  • FUN
  • IOC-Athlete-MOOC
  • World-Science-U
  • Codecademy
  • CourseSites
  • opencourseworld
  • ShareCourse
  • gacco
  • MiriadaX
  • JANUX
  • openhpi
  • Stanford-Open-Edx
  • 网易云课堂
  • 中国大学MOOC
  • 学堂在线
  • 顶你学堂
  • 华文慕课
  • 好大学在线CnMooc
  • (部分课程由Coursera、Udemy、Linkshare共同提供)

© 2008-2022 CMOOC.COM 慕课改变你,你改变世界