About this Course
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Approx. 16 hours to complete


Subtitles: English

Skills you will gain

StatisticsStatistical Hypothesis TestingBiostatistics

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 16 hours to complete


Subtitles: English

Syllabus - What you will learn from this course

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.

12 videos (Total 121 min), 1 reading, 2 quizzes
12 videos
More Hypothesis Testing12m
General Rules of Hypothesis Testing13m
Two-sided Tests9m
Confidence Intervals & P Values13m
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
1 reading
2 practice exercises
Module 1 Homework (Not counted toward final grade)26m
Module 1 Quiz26m
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!

8 videos (Total 75 min), 2 quizzes
8 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
2 practice exercises
Module 2 Homework12m
Module 2 Quiz12m
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.

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


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 videos (Total 153 min), 2 quizzes
16 videos
Simpson's Paradox, more examples9m
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
2 practice exercises
Module 4 Homework14m
Module 4 Quiz14m
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Top reviews from Mathematical Biostatistics Boot Camp 2

By ACJul 28th 2018

Please, make a reboot of this course with some improvements in the material.\n\nMore examples\n\nMore solved exercises.\n\nMore homework.

By VVSep 8th 2018

Outstanding professor -- more rigorous than other similar classes. Just the right degree of challenge in the quizzes.



Brian Caffo, PhD

Professor, Biostatistics
Bloomberg School of Public Health

About Johns Hopkins University

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