Mathematical Biostatistics Boot Camp 2

Mathematical Biostatistics Boot Camp 2

This course is part of Advanced Statistics for Data Science Specialization

Instructor: Brian Caffo, PhD

Access provided by Emirates Development Bank

22,143 already enrolled

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

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This course is part of the Advanced Statistics for Data Science 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.

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 Quiz 30 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 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 Quiz 30 minutes
Module 2 Homework 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

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.