Simple Regression Analysis in Public Health
By Coursera
on Coursera
· Data Science
About 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, 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.
Instructor
John McGready
Frequently Asked Questions
How much does Simple Regression Analysis in Public Health cost?
Visit the Simple Regression Analysis in Public Health course page for current pricing and available discounts.
Who teaches Simple Regression Analysis in Public Health ?
Simple Regression Analysis in Public Health is taught by John McGready, PhD, MS, Johns Hopkins University.
What skill level is Simple Regression Analysis in Public Health for?
This course is designed for all levels learners.