软件包在流行病学研究中的应用 Using software apps in epidemiological research

软件包在流行病学研究中的应用 Using software apps in epidemiological research

Course
zh
Chinese
40 h
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Source
  • From www.coursera.org
Conditions
  • Self-paced
  • Free Access
  • Free certificate
More info
  • 10 Sequences
  • Introductive Level

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Course details

Syllabus

第一周:PASS软件包在样本量与功效计算中的应用

介绍利用PASS软件包进行常用流行病学研究设计的样本量和功效计算。

第二周:CSurvey软件包在整群抽样调查中的应用

介绍在两阶段整群抽样调查中利用CSurvey软件包实现样本量计算、PPS抽样和生成随机数字表。

第三周:EpiData软件包在数据录入过程中的应用

介绍利用EpiData软件包建立调查问卷数据库、设置核查语句和录入数据。

第四周:EpiData软件包在数据录入过程中的应用

介绍利用EpiData软件包建立关联数据库,以及后期平行双录入的设置、数据导出等功能。

第五周:基于移动设备和网络技术的无纸调查方式在调查数据采集过程中的应用

介绍基于B/S结构的后台管理系统中调查问卷的设置方法,体验基于Android平台的调查软件或基于B/S结构的浏览器(WAP)客户端在现场调查数据采集中的应用。

第六周:STATA软件包的基本操作

介绍STATA软件包的基本操作方法。

第七周:STATA软件包在常用流行病学指标分析中的应用

重点介绍STATA中Tables for Epidemiologists模块的应用,同时讲解与其他常用分析模块的对应性。

第八周:STATA软件包在复杂抽样调查数据分析中的应用

介绍STATA中Survey data analysis模块在复杂抽样调查数据分析中的应用。

第九周:Sublime Text语句编辑器的简单应用

介绍利用语句编辑器Sublime Text软件包提高统计语句编写的效率和准确性。

第十周:考试

Prerequisite

None.

Instructors

  • 吕筠 Lv Jun - Department of Epidemiology & Biostatistics, School of Public Health
  • 余灿清 Canqing YU - School of Public Health

Editor

Peking University is determined to make its education openly accessible to students in China and around the world. With over 3000 faculty members, Peking University offers excellence in teaching and learning. Founded in 1898, Peking University (PKU) was the first national comprehensive university in China. 

For the past 115 years, with its hundreds of thousands of outstanding alumni, Peking University has made prominent contributions in the humanities and sciences to further China's prosperity and progress.

Platform

Coursera is a digital company offering massive open online course founded by computer teachers Andrew Ng and Daphne Koller Stanford University, located in Mountain View, California. 

Coursera works with top universities and organizations to make some of their courses available online, and offers courses in many subjects, including: physics, engineering, humanities, medicine, biology, social sciences, mathematics, business, computer science, digital marketing, data science, and other subjects.

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