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.
This course is part of the Biostatistics in Public Health Specialization
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About this Course
The recommended math prerequisite is up through and including basic algebra including logarithms and the equation of a line.
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Try Coursera for BusinessWhat 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 modifcation
- Proportional Hazards Model
- Regression Analysis
- Spline approach
The recommended math prerequisite is up through and including basic algebra including logarithms and the equation of a line.
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Syllabus - What you will learn from this course
An Overview of Multiple Regression for Estimation, Adjustment, and Basic Prediction, and Multiple Linear Regression
Multiple Logistic Regression
Multiple Cox Regression
Course Project
Reviews
- 5 stars78.94%
- 4 stars15.78%
- 3 stars4.88%
- 1 star0.37%
TOP REVIEWS FROM MULTIPLE REGRESSION ANALYSIS IN PUBLIC HEALTH
A wonderful look at multiple regression, including effect modification, interactions, and adjusted slopes.
Great way to learn multiple regression, the course applies multiple examples to make the concepts practical. Thanks.
It was a little hard course, but I have enjoyed learning these new materials. Thanks a lot to Coursera!
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.
About the Biostatistics in Public Health Specialization

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