About this Course
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Flexible deadlines

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Beginner Level

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

Approx. 12 hours to complete

Suggested: 4 weeks, 3-4 hours/week...

English

Subtitles: English

What you will learn

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    Practice multiple regression methods to determine relationships between an outcome and multiple predictors

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    Use the Spline approach for non-linear relationships with continuous predictors

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    Perform calculations with multiple predictor variables

Skills you will gain

effect modifcationProportional Hazards ModelRegression AnalysisSpline approach

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

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

Approx. 12 hours to complete

Suggested: 4 weeks, 3-4 hours/week...

English

Subtitles: English

Learners taking this Course are

  • Dentists
  • Medical Doctors
  • Scientists
  • Data Scientists
  • Researchers

Syllabus - What you will learn from this course

Week
1
4 hours to complete

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

9 videos (Total 177 min), 2 readings, 2 quizzes
9 videos
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
2
4 hours to complete

Multiple Logistic Regression

8 videos (Total 173 min), 2 readings, 2 quizzes
8 videos
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
3
3 hours to complete

Multiple Cox Regression

5 videos (Total 95 min), 2 readings, 2 quizzes
5 videos
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
Soluitons 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
4
2 hours to complete

Course Project

1 reading, 1 quiz
1 reading
Biostatistical Consulting Project10m
1 practice exercise
Project2h
4.6
7 ReviewsChevron Right

Top reviews from Multiple Regression Analysis in Public Health

By UKJul 30th 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 CNAug 31st 2019

The course was five stars, there were some quiz issues and a few numerical issues, but I learned a lot and appreciate the time and effort put into the content. Thank you!

Instructor

Avatar

John McGready, PhD, MS

Associate Scientist, Biostatistics
Bloomberg School of Public Health

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....

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....
Biostatistics in Public Health

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • 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.

More questions? Visit the Learner Help Center.