Learn fundamental concepts in data analysis and statistical inference, focusing on one and two independent samples.
提供方
数学生物统计学入门 2
约翰霍普金斯大学
課程信息
5,653 次近期查看
Learner Career Outcomes
33%
通過此課程獲得實實在在的工作福利
20%
加薪或升職
您將獲得的技能
StatisticsStatistical Hypothesis TestingBiostatistics
Learner Career Outcomes
33%
通過此課程獲得實實在在的工作福利
20%
加薪或升職
100% 在線
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完成時間大約為16 小時
英語（English）
字幕：英語（English）
教學大綱 - 您將從這門課程中學到什麼
週
1完成時間為 3 小時
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 個視頻 （總計 121 分鐘）, 1 個閱讀材料, 2 個測驗
12 個視頻
More Hypothesis Testing12分鐘
General Rules of Hypothesis Testing13分鐘
Two-sided Tests9分鐘
Confidence Intervals & P Values13分鐘
Power2分鐘
Calculating Power8分鐘
T Tests & Monte Carlo14分鐘
Two Sample Tests - Matched Data I6分鐘
Two Sample Tests - Matched Data II8分鐘
Two Sample Tests - Regression to the Mean12分鐘
Two Sample Tests - Two Independent Groups17分鐘
1 個閱讀材料
Syllabus10分鐘
2 個練習
Module 1 Homework (Not counted toward final grade)26分鐘
Module 1 Quiz26分鐘
週
2完成時間為 2 小時
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 個視頻 （總計 75 分鐘）, 2 個測驗
8 個視頻
Two Sample Binomial Tests - Exact Tests9分鐘
Two Sample Binomial Tests - Comparing 2 Binomial Proportions17分鐘
Relative Risks & Odds Ratios - Relative Measures4分鐘
Relative Risks & Odds Ratios - The Relative Risk8分鐘
Relative Risks & Odds Ratios - The Odds Ratio7分鐘
Delta Method4分鐘
Delta Method & Derivation9分鐘
2 個練習
Module 2 Homework12分鐘
Module 2 Quiz12分鐘
週
3完成時間為 2 小時
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 個視頻 （總計 98 分鐘）, 2 個測驗
7 個視頻
Hyper-Geometric Distribution8分鐘
Fisher's Exact Text in Practice & Monte Carlo16分鐘
Chi Squared Testing16分鐘
Testing Independence10分鐘
Generalization22分鐘
Goodness of Fit Testing11分鐘
2 個練習
Module 3 Homework12分鐘
Module 3 Quiz16分鐘
週
4完成時間為 3 小時
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 個視頻 （總計 153 分鐘）, 2 個測驗
16 個視頻
Simpson's Paradox, more examples9分鐘
Weighting8分鐘
CMH test15分鐘
Case Control Sampling13分鐘
Exact inference for The Odds Ratio8分鐘
Matched 2x2 Tables3分鐘
Dependence and Marginal Homogeneity8分鐘
Estimation of the Marginal Difference in Proportions4分鐘
Odds and Ends for Matched 2x2 Tables14分鐘
the sign test7分鐘
the sign rank test10分鐘
the rank sum test12分鐘
Poisson distribution9分鐘
Poisson likelihood9分鐘
Poisson P-value calculation7分鐘
2 個練習
Module 4 Homework14分鐘
Module 4 Quiz14分鐘
4.3
12 條評論來自数学生物统计学入门 2的熱門評論
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.
講師
Brian Caffo, PhD
Professor, BiostatisticsBloomberg School of Public Health
關於 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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