This course is part of the Biostatistics in Public Health Specialization

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335 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, we'll focus on the use of simple regression methods to determine the relationship between an outcome of interest and a single predictor via a linear equation. 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 logistic regression, confidence intervals, p-values, Cox regression, confounding, adjustment, and effect modification.

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Course 3 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. 13 hours to complete

English

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What you will learn

Practice simple regression methods to determine relationships between an outcome and a predictor
Recognize confounding in statistical analysis
Perform estimate adjustments

Skills you will gain

P-Value
Proportional Hazards Model
Confounding
regression

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.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Course 3 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. 13 hours to complete

English

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

Try Coursera for Business

Instructor

Instructor rating

4.71/5 (67 Ratings)

John McGready, PhD, MS

Associate Scientist, Biostatistics

Bloomberg School of Public Health

76,702 Learners

6 Courses

Offered by

Johns Hopkins University

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Syllabus - What you will learn from this course

Week1

Week 1

3 hours to complete

Simple Regression Methods

3 hours to complete

8 videos (Total 148 min), 2 readings, 2 quizzes

8 videos

Introduction3mSimple Regression: An Overview17mSimple Linear Regression with a Binary (or Nominal Categorical) Predictor14mSimple Linear Regression with a Categorical Predictor22mSimple Linear Regression with a Continuous Predictor25mSimple Linear Regression Model: Estimating the Regression Equation—Accounting for Uncertainty in the Estimates25mMeasuring the Strength of a Linear Association22mAdditional Examples17m

2 readings

Solutions to Linear Regression Practice Quiz10mQuiz 1 Solution10m

2 practice exercises

Practice Quiz: Simple Linear RegressionSimple Linear Regression30m

3 hours to complete

Simple Logistic Regression

3 hours to complete

7 videos (Total 114 min), 2 readings, 2 quizzes

7 videos

Introduction2mSimple Logistic Regression: An Overview9mSimple Logistic Regression with a Binary (or Categorical) Predictor22mSimple Logistic Regression with a Continuous Predictor25mSimple Logistic Regression: Accounting for Uncertainty in the Estimates15mEstimating Risk and Functions of Risk from Logistic Regression Results16mAdditional Examples21m

2 readings

Solutions to Practice Quiz on Simple Logistic Regression10mQuiz 2 Solutions10m

2 practice exercises

Practice Quiz: Simple Logistic RegressionLogistic Regression30m

Week2

Week 2

3 hours to complete

Simple Cox Proportional Hazards Regression

3 hours to complete

7 videos (Total 101 min), 2 readings, 2 quizzes

7 videos

Introduction2mSimple Cox Regression: An Overview17mSimple Cox Regression with a Binary (or Categorical) Predictor17mSimple Cox Regression with a Continuous Predictor23mSimple Cox Regression: Accounting for Uncertainty in the Estimates14mEstimating Survival Curves from Cox Regression Results11mAdditional Examples14m

2 readings

Solutions for Practice Quiz on Simple Cox Regression15mSolutions to Summative Quiz 310m

2 practice exercises

Practice Quiz: Simple Cox Proportional Hazards RegressionSimple Cox Regression30m

Week3

Week 3

3 hours to complete

Confounding, Adjustment, and Effect Modification

3 hours to complete

10 videos (Total 117 min), 1 reading, 2 quizzes

10 videos

Introduction57sConfounding: A Formal Definition and Some Examples15mAdjusted Estimates: Presentation, Interpretation, and Utility for Assessing Confounding11mAdjusted Estimates: The General Idea Behind the Computations8mAdditional Examples7mEffect modification: Introduction with an analytic example17mEffect modification: Tree damage and elevation example15mEffect modification: Examples from the literature16mConfounding versus effect modification: A review7mAdditional examples15m

1 reading

Solutions to Summative Quiz 410m

2 practice exercises

Practice Quiz: Confounding and Effect Modification30mConfounding and Effect Modification30m

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

66 reviews

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2.38%
2 stars
1.19%
1 star
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TOP REVIEWS FROM SIMPLE REGRESSION ANALYSIS IN PUBLIC HEALTH

by RPJun 29, 2020

Everything in this course was new to me. It was tough to grasp initially, but I must say John is a very good teacher!!

by ELMay 8, 2021

Another exceptional class by Dr. John McGready. Clear and concise with many real-world research reviews that make challenging subjects such as logistic regression much more easy to understand.

by UKJul 26, 2019

Very practical course. The tutor makes complex concepts seem easy.

by SPJun 21, 2020

the course design, quiz and lectures were amazing and engaging.

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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Simple Regression Analysis in Public Health

About this Course

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