About this Course
Learn fundamental concepts in data analysis and statistical inference, focusing on one and two independent samples.
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100% online courses

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Clock

Approx. 15 hours to complete

Suggested: 6 hours/week
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English

Subtitles: English
Globe

100% online courses

Start instantly and learn at your own schedule.
Clock

Approx. 15 hours to complete

Suggested: 6 hours/week
Comment Dots

English

Subtitles: English

Syllabus - What you will learn from this course

1

Section
Clock
3 hours to complete

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....
Reading
12 videos (Total 121 min), 1 reading, 2 quizzes
Video12 videos
More Hypothesis Testing12m
General Rules of Hypothesis Testing13m
Two-sided Tests9m
Confidence Intervals & P Values13m
Power2m
Calculating Power8m
T Tests & Monte Carlo14m
Two Sample Tests - Matched Data I6m
Two Sample Tests - Matched Data II8m
Two Sample Tests - Regression to the Mean12m
Two Sample Tests - Two Independent Groups17m
Reading1 readings
Syllabus10m
Quiz2 practice exercises
Module 1 Homework (Not counted toward final grade)26m
Module 1 Quiz26m

2

Section
Clock
2 hours to complete

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!...
Reading
8 videos (Total 75 min), 2 quizzes
Video8 videos
Two Sample Binomial Tests - Exact Tests9m
Two Sample Binomial Tests - Comparing 2 Binomial Proportions17m
Relative Risks & Odds Ratios - Relative Measures4m
Relative Risks & Odds Ratios - The Relative Risk8m
Relative Risks & Odds Ratios - The Odds Ratio7m
Delta Method4m
Delta Method & Derivation9m
Quiz2 practice exercises
Module 2 Homework12m
Module 2 Quiz12m

3

Section
Clock
2 hours to complete

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. ...
Reading
7 videos (Total 98 min), 2 quizzes
Video7 videos
Hyper-Geometric Distribution8m
Fisher's Exact Text in Practice & Monte Carlo16m
Chi Squared Testing16m
Testing Independence10m
Generalization22m
Goodness of Fit Testing11m
Quiz2 practice exercises
Module 3 Homework12m
Module 3 Quiz16m

4

Section
Clock
3 hours to complete

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....
Reading
16 videos (Total 153 min), 2 quizzes
Video16 videos
Simpson's Paradox, more examples9m
Weighting8m
CMH test15m
Case Control Sampling13m
Exact inference for The Odds Ratio8m
Matched 2x2 Tables3m
Dependence and Marginal Homogeneity8m
Estimation of the Marginal Difference in Proportions4m
Odds and Ends for Matched 2x2 Tables14m
the sign test7m
the sign rank test10m
the rank sum test12m
Poisson distribution9m
Poisson likelihood9m
Poisson P-value calculation7m
Quiz2 practice exercises
Module 4 Homework14m
Module 4 Quiz14m

Instructor

Avatar

Brian Caffo, PhD

Professor, Biostatistics

About Johns Hopkins University

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....

Frequently Asked Questions

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