This course is part of the Biostatistics in Public Health Specialization

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266 ratings

John McGready, PhD, MS

12,855 already enrolled

Offered By

Biostatistics in Public Health SpecializationJohns Hopkins University

About this Course

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Biostatistics is the application of statistical reasoning to the life sciences, and it's the key to unlocking the data gathered by researchers and the evidence presented in the scientific public health literature. In this course, you'll extend simple regression to the prediction of a single outcome of interest on the basis of multiple variables. Along the way, you'll be introduced to a variety of methods, and you'll practice interpreting data and performing calculations on real data from published studies.  Topics include multiple logistic regression, the Spline approach, confidence intervals, p-values, multiple Cox regression, adjustment, and effect modification.

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Course 4 of 4 in the

Biostatistics in Public Health Specialization

Beginner Level

The recommended math prerequisite is up through and including basic algebra including logarithms and the equation of a line.

Approx. 14 hours to complete

English

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What you will learn

Practice multiple regression methods to determine relationships between an outcome and multiple predictors
Use the Spline approach for non-linear relationships with continuous predictors
Perform calculations with multiple predictor variables

Skills you will gain

effect modifcation
Proportional Hazards Model
Regression Analysis
Spline approach

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Course 4 of 4 in the

Biostatistics in Public Health Specialization

Beginner Level

The recommended math prerequisite is up through and including basic algebra including logarithms and the equation of a line.

Approx. 14 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructor

Instructor rating

4.78/5 (66 Ratings)

John McGready, PhD, MS

Associate Scientist, Biostatistics

Bloomberg School of Public Health

77,038 Learners

6 Courses

Offered by

Johns Hopkins University

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Syllabus - What you will learn from this course

Week1

Week 1

4 hours to complete

An Overview of Multiple Regression for Estimation, Adjustment, and Basic Prediction, and Multiple Linear Regression

4 hours to complete

9 videos (Total 177 min), 2 readings, 2 quizzes

9 videos

Multiple Regression: An Overview13mMultiple Linear Regression: Some Examples23mMultiple Linear Regression: Basics of Model Estimation, and Handling Uncertainty in the Resulting Estimates14mEstimate Group Means and Mean Differences for Groups Who Differ in More than One Predictor with Multiple Linear Regression9mThe “Linearity” Assumption and Estimating Amount of Variability Explained by Multiple Predictors21mExamples from the Literature21mInvestigating Effect Modification with Multiple Linear Regression (Forthcoming)20mInvestigating Effect Modification with Multiple Linear Regression—More Examples, For Those Interested18mAdditional Examples of Multiple Linear Regression34m

2 readings

Solutions to Practice Quiz on Multiple Linear Regression15mSolutions to Summative Quiz 110m

2 practice exercises

Practice Quiz: An Overview of Multiple Regression for Estimation, Adjustment, and Basic Prediction, and Multiple Linear Regression30mAn Overview of Multiple Regression for Estimation, Adjustment, and Basic Prediction, and Multiple Linear Regression30m

Week2

Week 2

4 hours to complete

Multiple Logistic Regression

4 hours to complete

8 videos (Total 173 min), 2 readings, 2 quizzes

8 videos

Multiple Logistic Regression: Some Examples24mMultiple Logistic Regression: Basics of Model Estimation, and Handling Uncertainty in the Resulting Estimates18mEstimating Group Odds and Proportions, and Odds Ratios for Groups Who Differ in More than One Predictor with Multiple Linear Regression24mThe “Linearity” Assumption and A Brief Note about Prediction with Multiple Logistic Regression27mExamples from the Literature26mInvestigating Effect Modification with Multiple Logistic Regression, Part 118mInvestigating Effect Modification with Multiple Logistic Regression, Part 210mAdditional Examples21m

2 readings

Solutions to Practice Quiz Items 1-920mSolutions to Quiz on Logistic Regression10m

2 practice exercises

Practice Quiz: Multiple Logistic Regression30mMultiple Logistic Regression30m

Week3

Week 3

3 hours to complete

Multiple Cox Regression

3 hours to complete

5 videos (Total 95 min), 2 readings, 2 quizzes

5 videos

Some Examples17mBasics of Model Estimation and Handling Uncertainty in the Resulting Estimates18mEstimating Hazard Ratios for Groups who Differ in more than one Predictor with Multiple Cox Regression12mThe "Linearity" Assumption and Prediction with Multiple Cox Regression21mExamples from the Literature25m

2 readings

Solutions To Multiple Cox Regression Practice Quiz20mSolutions: Summative Quiz (Multiple Cox Regression)10m

2 practice exercises

Practice Quiz: Multiple Cox Regression30mMultiple Cox Regression, and Course Concepts30m

Week4

Week 4

2 hours to complete

Course Project

During this module, you get the chance to demonstrate what you've learned by putting yourself in the shoes of biostatistical consultant on two different studies, one about self-administration of injectable contraception and one about medical appointment scheduling in Brazil. The two research teams have asked you to help them interpret previously published results in order to inform the planning of their own studies. If you've already taken other courses in this specialization, then this scenario will be familiar.

2 hours to complete

1 reading

Reviews

4.7

58 reviews

5 stars
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4 stars
15.78%
3 stars
4.88%
1 star
0.37%

TOP REVIEWS FROM MULTIPLE REGRESSION ANALYSIS IN PUBLIC HEALTH

by ABApr 21, 2020

A wonderful look at multiple regression, including effect modification, interactions, and adjusted slopes.

by DCMay 30, 2021

Great way to learn multiple regression, the course applies multiple examples to make the concepts practical. Thanks.

by SSAug 1, 2022

It was a little hard course, but I have enjoyed learning these new materials. Thanks a lot to Coursera!

by ELMay 21, 2021

Professor McGready is a passionate instructor who makes BioStats interesting and concrete through his real-world experiences and exercises. Another excellent class from Dr. John.

View all reviews

About the Biostatistics in Public Health Specialization

This specialization is intended for public health and healthcare professionals, researchers, data analysts, social workers, and others who need a comprehensive concepts-centric biostatistics primer. Those who complete the specialization will be able to read and respond to the scientific literature, including the Methods and Results sections, in public health, medicine, biological science, and related fields. Successful learners will also be prepared to participate as part of a research team.

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

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Multiple Regression Analysis in Public Health

About this Course

What you will learn

Skills you will gain