Mathematical Biostatistics Boot Camp 2

Johns Hopkins University

Об этом курсе

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

Только онлайн-курсы

Начните сейчас и учитесь по собственному графику.

Approx. 15 hours to complete

Предполагаемая нагрузка: 6 hours/week

English

Субтитры: English

Только онлайн-курсы

Начните сейчас и учитесь по собственному графику.

Approx. 15 hours to complete

Предполагаемая нагрузка: 6 hours/week

English

Субтитры: English

Syllabus - What you will learn from this course

1

Section

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

Hypothesis Testing1m

More Hypothesis Testing12m

General Rules of Hypothesis Testing13m

Two-sided Tests9m

Confidence Intervals & P Values13m

Power2m

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 readings

Syllabus10m

2 practice exercises

Module 1 Homework (Not counted toward final grade)26m

Module 1 Quiz26m

2

Section

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 - Score Statistic14m

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

3

Section

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

Fisher's Exact Test11m

Hyper-Geometric Distribution8m

Fisher's Exact Text in Practice & Monte Carlo16m

Chi Squared Testing16m

Testing Independence10m

Generalization22m

Goodness of Fit Testing11m

2 practice exercises

Module 3 Homework12m

Module 3 Quiz16m

4

Section

3 hours to complete

Techniques

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 Paradox7m

Simpson's Paradox, more examples9m

Weighting8m

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

Instructor

Brian Caffo, PhD

Professor, Biostatistics

About Johns Hopkins University

The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world....

Frequently Asked Questions

When will I have access to the lectures and assignments?
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What will I get if I pay for this course?
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