Multiple Regression Analysis in Public Health
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Multiple Regression Analysis in Public Health
This course is part of Biostatistics in Public Health Specialization
Instructor: John McGready, PhD, MS
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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
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There are 4 modules in this course
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.
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.
What's included
9 videos2 readings2 assignments
9 videos•Total 177 minutes
- Multiple Regression: An Overview•13 minutes
- Multiple Linear Regression: Some Examples•24 minutes
- Multiple Linear Regression: Basics of Model Estimation, and Handling Uncertainty in the Resulting Estimates•15 minutes
- Estimate Group Means and Mean Differences for Groups Who Differ in More than One Predictor with Multiple Linear Regression•10 minutes
- The “Linearity” Assumption and Estimating Amount of Variability Explained by Multiple Predictors•22 minutes
- Examples from the Literature•21 minutes
- Investigating Effect Modification with Multiple Linear Regression (Forthcoming)•21 minutes
- Investigating Effect Modification with Multiple Linear Regression—More Examples, For Those Interested•18 minutes
- Additional Examples of Multiple Linear Regression•34 minutes
2 readings•Total 25 minutes
- Solutions to Practice Quiz on Multiple Linear Regression•15 minutes
- Solutions to Summative Quiz 1•10 minutes
2 assignments•Total 60 minutes
- Practice Quiz: An Overview of Multiple Regression for Estimation, Adjustment, and Basic Prediction, and Multiple Linear Regression•30 minutes
- An Overview of Multiple Regression for Estimation, Adjustment, and Basic Prediction, and Multiple Linear Regression•30 minutes
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.
What's included
8 videos2 readings2 assignments
8 videos•Total 173 minutes
- Multiple Logistic Regression: Some Examples•25 minutes
- Multiple Logistic Regression: Basics of Model Estimation, and Handling Uncertainty in the Resulting Estimates•19 minutes
- Estimating Group Odds and Proportions, and Odds Ratios for Groups Who Differ in More than One Predictor with Multiple Linear Regression•25 minutes
- The “Linearity” Assumption and A Brief Note about Prediction with Multiple Logistic Regression•28 minutes
- Examples from the Literature•27 minutes
- Investigating Effect Modification with Multiple Logistic Regression, Part 1•19 minutes
- Investigating Effect Modification with Multiple Logistic Regression, Part 2•10 minutes
- Additional Examples•21 minutes
2 readings•Total 30 minutes
- Solutions to Practice Quiz Items 1-9•20 minutes
- Solutions to Quiz on Logistic Regression•10 minutes
2 assignments•Total 60 minutes
- Practice Quiz: Multiple Logistic Regression•30 minutes
- Multiple Logistic Regression•30 minutes
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.
What's included
5 videos2 readings2 assignments
5 videos•Total 95 minutes
- Some Examples•17 minutes
- Basics of Model Estimation and Handling Uncertainty in the Resulting Estimates•18 minutes
- Estimating Hazard Ratios for Groups who Differ in more than one Predictor with Multiple Cox Regression•12 minutes
- The "Linearity" Assumption and Prediction with Multiple Cox Regression•21 minutes
- Examples from the Literature•26 minutes
2 readings•Total 30 minutes
- Solutions To Multiple Cox Regression Practice Quiz•20 minutes
- Solutions: Summative Quiz (Multiple Cox Regression)•10 minutes
2 assignments•Total 60 minutes
- Practice Quiz: Multiple Cox Regression•30 minutes
- Multiple Cox Regression, and Course Concepts•30 minutes
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.
What's included
1 reading1 assignment
1 reading•Total 10 minutes
- Biostatistical Consulting Project•10 minutes
1 assignment•Total 120 minutes
- Project•120 minutes
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Reviewed on Mar 28, 2022
Excellent Course! Dr. McGready opened the doors of a whole new world to me with this specialization. Proud to have concluded it.
Reviewed on Apr 21, 2023
Recommended for beginners in the field. Instructor John McGready presents the otherwise complex concepts of Biostatistics straightforwardly, with many examples and a perfect pace.
Reviewed on Aug 1, 2019
Incredible way of teaching biostatistics using by just adding more complexity to the same exercises in a gradual form!
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