Johns Hopkins University

Regression Models

This course is part of multiple programs.

Brian Caffo, PhD
Roger D. Peng, PhD
Jeff Leek, PhD

Instructors: Brian Caffo, PhD

147,325 already enrolled

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Gain insight into a topic and learn the fundamentals.
4.4

(3,356 reviews)

53 hours to complete
3 weeks at 17 hours a week
Flexible schedule
Learn at your own pace
92%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.4

(3,356 reviews)

53 hours to complete
3 weeks at 17 hours a week
Flexible schedule
Learn at your own pace
92%
Most learners liked this course

What you'll learn

  • Use regression analysis, least squares and inference

  • Understand ANOVA and ANCOVA model cases

  • Investigate analysis of residuals and variability

  • Describe novel uses of regression models such as scatterplot smoothing

Details to know

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Assessments

5 assignments

Taught in English

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There are 4 modules in this course

This week, we focus on least squares and linear regression.

What's included

9 videos11 readings1 assignment3 programming assignments

This week, we will work through the remainder of linear regression and then turn to the first part of multivariable regression.

What's included

10 videos5 readings1 assignment3 programming assignments

This week, we'll build on last week's introduction to multivariable regression with some examples and then cover residuals, diagnostics, variance inflation, and model comparison.

What's included

14 videos5 readings2 assignments3 programming assignments

This week, we will work on generalized linear models, including binary outcomes and Poisson regression.

What's included

7 videos6 readings1 assignment4 programming assignments1 peer review

Instructors

Instructor ratings
4.5 (105 ratings)
Brian Caffo, PhD
Johns Hopkins University
30 Courses1,630,431 learners

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Recommended if you're interested in Probability and Statistics

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4.4

3,356 reviews

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SR
5

Reviewed on Jan 3, 2022

AA
5

Reviewed on Feb 28, 2017

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5

Reviewed on Oct 6, 2016

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