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Mathematical Biostatistics Boot Camp 2

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Mathematical Biostatistics Boot Camp 2

This course is part of Advanced Statistics for Data Science Specialization

Instructor: Brian Caffo, PhD

22,457 already enrolled

Included with

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4 modules

Gain insight into a topic and learn the fundamentals.

138 reviews

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

138 reviews

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

8 assignments

Taught in English

91%

of learners achieved a positive career outcome

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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

Learn fundamental concepts in data analysis and statistical inference, focusing on one and two independent samples.

Module details

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 videosTotal 121 minutes

Hypothesis Testing1 minute
More Hypothesis Testing13 minutes
General Rules of Hypothesis Testing14 minutes
Two-sided Tests9 minutes
Confidence Intervals & P Values14 minutes
Power3 minutes
Calculating Power9 minutes
T Tests & Monte Carlo15 minutes
Two Sample Tests - Matched Data I6 minutes
Two Sample Tests - Matched Data II8 minutes
Two Sample Tests - Regression to the Mean13 minutes
Two Sample Tests - Two Independent Groups17 minutes

1 readingTotal 10 minutes

Syllabus10 minutes

2 assignmentsTotal 60 minutes

Module 1 Quiz30 minutes
Module 1 Homework (Not counted toward final grade)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 videosTotal 75 minutes

Two Sample Binomial Tests - Score Statistic14 minutes
Two Sample Binomial Tests - Exact Tests9 minutes
Two Sample Binomial Tests - Comparing 2 Binomial Proportions17 minutes
Relative Risks & Odds Ratios - Relative Measures4 minutes
Relative Risks & Odds Ratios - The Relative Risk9 minutes
Relative Risks & Odds Ratios - The Odds Ratio7 minutes
Delta Method5 minutes
Delta Method & Derivation9 minutes

2 assignmentsTotal 60 minutes

Module 2 Quiz30 minutes
Module 2 Homework30 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

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 videosTotal 153 minutes

Simpson's Paradox7 minutes
Simpson's Paradox, more examples9 minutes
Weighting9 minutes
CMH test15 minutes
Case Control Sampling14 minutes
Exact inference for The Odds Ratio9 minutes
Matched 2x2 Tables4 minutes
Dependence and Marginal Homogeneity9 minutes
Estimation of the Marginal Difference in Proportions5 minutes
Odds and Ends for Matched 2x2 Tables14 minutes
the sign test8 minutes
the sign rank test11 minutes
the rank sum test12 minutes
Poisson distribution10 minutes
Poisson likelihood10 minutes
Poisson P-value calculation8 minutes

2 assignmentsTotal 60 minutes

Module 4 Quiz30 minutes
Module 4 Homework30 minutes

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Instructor

Instructor ratings

(19 ratings)

Brian Caffo, PhD

Johns Hopkins University

30 Courses1,715,719 learners

Offered by

Johns Hopkins University

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 Jul 27, 2018

Please, make a reboot of this course with some improvements in the material.More examplesMore solved exercises.More homework.

Reviewed on Mar 12, 2022

The course is extremely structured. It is a fantastic "boot camp" for students who would like to learn statistics, opening the door of future data analysis.

Reviewed on Sep 30, 2018

Goode videos and teacher. The videos are old and it will be perfect to refresh them and make it more interactive.

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