Mathematical Biostatistics Boot Camp 2
Keep adding new skills with 10,000+ programs for $239 (usually $399). Save now.
Mathematical Biostatistics Boot Camp 2
This course is part of Advanced Statistics for Data Science Specialization
Instructor: Brian Caffo, PhD
22,525 already enrolled
Included with
Ask Coursera
138 reviews
138 reviews
Details to know
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There are 4 modules in this course
Learn fundamental concepts in data analysis and statistical inference, focusing on one and two independent samples.
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.
What's included
12 videos1 reading2 assignments
12 videos•Total 121 minutes
- Hypothesis Testing•1 minute
- More Hypothesis Testing•13 minutes
- General Rules of Hypothesis Testing•14 minutes
- Two-sided Tests•9 minutes
- Confidence Intervals & P Values•14 minutes
- Power•3 minutes
- Calculating Power•9 minutes
- T Tests & Monte Carlo•15 minutes
- Two Sample Tests - Matched Data I•6 minutes
- Two Sample Tests - Matched Data II•8 minutes
- Two Sample Tests - Regression to the Mean•13 minutes
- Two Sample Tests - Two Independent Groups•17 minutes
1 reading•Total 10 minutes
- Syllabus•10 minutes
2 assignments•Total 60 minutes
- Module 1 Homework (Not counted toward final grade)•30 minutes
- Module 1 Quiz•30 minutes
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!
What's included
8 videos2 assignments
8 videos•Total 75 minutes
- Two Sample Binomial Tests - Score Statistic•14 minutes
- Two Sample Binomial Tests - Exact Tests•9 minutes
- Two Sample Binomial Tests - Comparing 2 Binomial Proportions•17 minutes
- Relative Risks & Odds Ratios - Relative Measures•4 minutes
- Relative Risks & Odds Ratios - The Relative Risk•9 minutes
- Relative Risks & Odds Ratios - The Odds Ratio•7 minutes
- Delta Method•5 minutes
- Delta Method & Derivation•9 minutes
2 assignments•Total 60 minutes
- Module 2 Homework•30 minutes
- Module 2 Quiz•30 minutes
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.
What's included
7 videos2 assignments
7 videos•Total 98 minutes
- Fisher's Exact Test•11 minutes
- Hyper-Geometric Distribution•8 minutes
- Fisher's Exact Text in Practice & Monte Carlo•16 minutes
- Chi Squared Testing•17 minutes
- Testing Independence•11 minutes
- Generalization•23 minutes
- Goodness of Fit Testing•12 minutes
2 assignments•Total 60 minutes
- Module 3 Homework•30 minutes
- Module 3 Quiz•30 minutes
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.
What's included
16 videos2 assignments
16 videos•Total 153 minutes
- Simpson's Paradox•7 minutes
- Simpson's Paradox, more examples•9 minutes
- Weighting•9 minutes
- CMH test•15 minutes
- Case Control Sampling•14 minutes
- Exact inference for The Odds Ratio•9 minutes
- Matched 2x2 Tables•4 minutes
- Dependence and Marginal Homogeneity•9 minutes
- Estimation of the Marginal Difference in Proportions•5 minutes
- Odds and Ends for Matched 2x2 Tables•14 minutes
- the sign test•8 minutes
- the sign rank test•11 minutes
- the rank sum test•12 minutes
- Poisson distribution•10 minutes
- Poisson likelihood•10 minutes
- Poisson P-value calculation•8 minutes
2 assignments•Total 60 minutes
- Module 4 Homework•30 minutes
- Module 4 Quiz•30 minutes
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructor
Offered by
Explore more from Probability and Statistics
- J
Johns Hopkins University
Course
- J
Johns Hopkins University
Course
- J
Johns Hopkins University
Course
Why people choose Coursera for their career
Learner reviews
- 5 stars
55.07%
- 4 stars
26.08%
- 3 stars
13.76%
- 2 stars
1.44%
- 1 star
3.62%
Showing 3 of 138
Reviewed on Aug 15, 2019
Thank you Dr Brian for the in-depth teaching from fundamental to application in real-world healthcare research
Reviewed on Jul 27, 2018
Please, make a reboot of this course with some improvements in the material.More examplesMore solved exercises.More homework.
Reviewed on Aug 28, 2025
The material is very helpful, plus the exercises and assessments use analysis and analogical language that are very challenging.
Frequently asked questions
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
More questions
Financial aid available,