数学生物统计学入门 2

Mathematical Biostatistics Boot Camp 2

2044 次查看
约翰霍普金斯大学
Coursera
  • 完成时间大约为 16 个小时
  • 混合难度
  • 英语
注:本课程由Coursera和Linkshare共同提供,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

Statistics

Statistical Hypothesis Testing

Biostatistics

课程概况

Learn fundamental concepts in data analysis and statistical inference, focusing on one and two independent samples.

课程大纲

周1
完成时间为 3 小时
Hypothesis Testing
In this module, you'll get an introduction to hypothesis testing, a core concept in statistics. We'll cover hypothesis testing for basic one and two
group settings as well as power. After you've watched the videos and tried the homework, take a stab at the quiz.
12 个视频 (总计 121 分钟), 1 个阅读材料, 2 个测验

周2
完成时间为 2 小时
Two Binomials
In this module we'll be covering some methods for looking at two binomials. This includes the odds ratio, relative risk and risk difference. We'll discussing mostly confidence intervals in this module and will develop the delta method, the tool used to create these confidence intervals. After you've watched the videos and tried the homework, take a crack at the quiz!
8 个视频 (总计 75 分钟), 2 个测验

周3
完成时间为 2 小时
Discrete Data Settings
In this module, we'll discuss testing in discrete data settings. This includes the famous Fisher's exact test, as well as the many forms of tests for
contingency table data. You'll learn the famous observed minus expected squared over the expected formula, that is broadly applicable.
7 个视频 (总计 98 分钟), 2 个测验

周4
完成时间为 3 小时
Techniques
This module is a bit of a hodge podge of important techniques. It includes methods for discrete matched pairs data as well as some classical
non-parametric methods.

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