Learn fundamental concepts in data analysis and statistical inference, focusing on one and two independent samples.
课程信息
27,700 次近期查看
您将获得的技能
StatisticsStatistical Hypothesis TestingBiostatistics
学习Course的学生是
- Biostatisticians
- Scientists
- Biologists
- Medical Doctors
- Pharmacists
教学大纲 - 您将从这门课程中学到什么
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
12 个视频
More Hypothesis Testing12分钟
General Rules of Hypothesis Testing13分钟
Two-sided Tests9分钟
Confidence Intervals & P Values13分钟
Power2分钟
Calculating Power8分钟
T Tests & Monte Carlo14分钟
Two Sample Tests - Matched Data I6分钟
Two Sample Tests - Matched Data II8分钟
Two Sample Tests - Regression to the Mean12分钟
Two Sample Tests - Two Independent Groups17分钟
1 个阅读材料
Syllabus10分钟
2 个练习
Module 1 Homework (Not counted toward final grade)26分钟
Module 1 Quiz26分钟
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
8 个视频
Two Sample Binomial Tests - Exact Tests9分钟
Two Sample Binomial Tests - Comparing 2 Binomial Proportions17分钟
Relative Risks & Odds Ratios - Relative Measures4分钟
Relative Risks & Odds Ratios - The Relative Risk8分钟
Relative Risks & Odds Ratios - The Odds Ratio7分钟
Delta Method4分钟
Delta Method & Derivation9分钟
2 个练习
Module 2 Homework12分钟
Module 2 Quiz12分钟
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
7 个视频
Hyper-Geometric Distribution8分钟
Fisher's Exact Text in Practice & Monte Carlo16分钟
Chi Squared Testing16分钟
Testing Independence10分钟
Generalization22分钟
Goodness of Fit Testing11分钟
2 个练习
Module 3 Homework12分钟
Module 3 Quiz16分钟
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.
16 个视频 （总计 153 分钟）, 2 个测验
16 个视频
Simpson's Paradox, more examples9分钟
Weighting8分钟
CMH test15分钟
Case Control Sampling13分钟
Exact inference for The Odds Ratio8分钟
Matched 2x2 Tables3分钟
Dependence and Marginal Homogeneity8分钟
Estimation of the Marginal Difference in Proportions4分钟
Odds and Ends for Matched 2x2 Tables14分钟
the sign test7分钟
the sign rank test10分钟
the rank sum test12分钟
Poisson distribution9分钟
Poisson likelihood9分钟
Poisson P-value calculation7分钟
2 个练习
Module 4 Homework14分钟
Module 4 Quiz14分钟
4.3
12 个审阅33%
通过此课程获得实实在在的工作福利
20%
加薪或升职
来自数学生物统计学入门 2的热门评论
Please, make a reboot of this course with some improvements in the material.\n\nMore examples\n\nMore solved exercises.\n\nMore homework.
Outstanding professor -- more rigorous than other similar classes. Just the right degree of challenge in the quizzes.
讲师
Brian Caffo, PhD
Professor, BiostatisticsBloomberg School of Public Health
关于 约翰霍普金斯大学
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
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