This course is part of the Biostatistics in Public Health Specialization

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222 ratings

John McGready, PhD, MS

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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

Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish

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 modifcationProportional Hazards ModelRegression AnalysisSpline 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

Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish

Instructor

Instructor rating

4.78/5 (48 Ratings)

John McGready, PhD, MS

Associate Scientist, Biostatistics

Bloomberg School of Public Health

63,100 Learners

6 Courses

Offered by

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.

Syllabus - What you will learn from this course

Week

Week 1

4 hours to complete

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

Within this module, an overview of multiple regression will be provided. Additionally, examples and applications will be examined. A practice quiz is provided to test your knowledge before completing the graded quiz.

4 hours to complete

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

9 videos

Multiple Regression: An Overview13m

Multiple Linear Regression: Some Examples23m

Multiple Linear Regression: Basics of Model Estimation, and Handling Uncertainty in the Resulting Estimates14m

Estimate Group Means and Mean Differences for Groups Who Differ in More than One Predictor with Multiple Linear Regression9m

The “Linearity” Assumption and Estimating Amount of Variability Explained by Multiple Predictors21m

Examples from the Literature21m

Investigating Effect Modification with Multiple Linear Regression (Forthcoming)20m

Investigating Effect Modification with Multiple Linear Regression—More Examples, For Those Interested18m

Additional Examples of Multiple Linear Regression34m

2 readings

Solutions to Practice Quiz on Multiple Linear Regression10m

Solutions to Summative Quiz 110m

2 practice exercises

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

An Overview of Multiple Regression for Estimation, Adjustment, and Basic Prediction, and Multiple Linear Regression30m

Week

Week 2

4 hours to complete

Multiple Logistic Regression

Module two covers examples of multiple logistic regression, basics of model estimates, and a discussion of effect modification. In addition to lectures, you will also be completing a practice quiz and graded quiz.

4 hours to complete

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

8 videos

Multiple Logistic Regression: Some Examples24m

Multiple Logistic Regression: Basics of Model Estimation, and Handling Uncertainty in the Resulting Estimates18m

Estimating Group Odds and Proportions, and Odds Ratios for Groups Who Differ in More than One Predictor with Multiple Linear Regression24m

The “Linearity” Assumption and A Brief Note about Prediction with Multiple Logistic Regression27m

Examples from the Literature26m

Investigating Effect Modification with Multiple Logistic Regression, Part 118m

Investigating Effect Modification with Multiple Logistic Regression, Part 210m

Additional Examples21m

2 readings

Solutions to Practice Quiz Items 1-910m

Solutions to Quiz on Logistic Regression10m

2 practice exercises

Practice Quiz: Multiple Logistic Regression30m

Multiple Logistic Regression30m

Week

Week 3

3 hours to complete

Multiple Cox Regression

The last module for this class focuses on multiple Cox regression, the “Linearity” assumption, examples, and applications. You will complete a practice quiz, graded quiz, and project.

3 hours to complete

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

5 videos

Some Examples17m

Basics of Model Estimation and Handling Uncertainty in the Resulting Estimates18m

Estimating Hazard Ratios for Groups who Differ in more than one Predictor with Multiple Cox Regression12m

The "Linearity" Assumption and Prediction with Multiple Cox Regression21m

Examples from the Literature25m

2 readings

Solutions To Multiple Cox Regression Practice Quiz10m

Solutions: Summative Quiz (Multiple Cox Regression)10m

2 practice exercises

Practice Quiz: Multiple Cox Regression30m

Multiple Cox Regression, and Course Concepts30m

Week

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

46 reviews

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TOP REVIEWS FROM MULTIPLE REGRESSION ANALYSIS IN PUBLIC HEALTH

by DKJul 25, 2020

lecture pattern gives enthusiasm in learning and solving quiz sessions. explanations for the solutions gives immense strength and confidence in learning. Excellant course and marvellous experience

by BVApr 23, 2020

This course covers all types of Multiple Regressions. Instructor explained the complex topics in simple language. Relevant examples from clinical field and thorough explanation by the Instructor.

by UKJul 29, 2019

The course is well structured. The numerous examples and practice questions help the student apply the concepts learned. I love the fact that almost every question was from a real article.

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, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

More questions? Visit the Learner Help Center.

Multiple Regression Analysis in Public Health