Johns Hopkins University
Mathematical Biostatistics Boot Camp 2
Johns Hopkins University

Mathematical Biostatistics Boot Camp 2

This course is part of Advanced Statistics for Data Science Specialization

Taught in English

Some content may not be translated

Brian Caffo, PhD

Instructor: Brian Caffo, PhD

20,588 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.3

(130 reviews)

11 hours (approximately)
Flexible schedule
Learn at your own pace

Details to know

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Assessments

8 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.3

(130 reviews)

11 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

This course is part of the Advanced Statistics for Data Science Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course

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 quizzes

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 quizzes

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 quizzes

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 quizzes

Instructor

Instructor ratings
4.6 (18 ratings)
Brian Caffo, PhD
Johns Hopkins University
30 Courses1,614,095 learners

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Recommended if you're interested in Probability and Statistics

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4.3

130 reviews

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