Multiple Regression Analysis in Public Health

Instructor: John McGready, PhD, MS

Beginner Level • 1 week to complete at 10 hours a week • Flexible Schedule

What You'll 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'll Gain

Data analysis
Predictive Modeling
Statistical Methods
Regression Analysis
Statistical Analysis
Public Health
Biostatistics
Advanced Analytics
Statistical Modeling
Probability & Statistics
Statistical Inference

Shareable Certificate

Earn a shareable certificate to add to your LinkedIn profile

Outcomes

  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 4 modules in this course

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.

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.

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.

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.