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Learner Reviews & Feedback for Simple Regression Analysis in Public Health by Johns Hopkins University

4.7
stars
275 ratings
53 reviews

About the 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....

Top reviews

BV
Apr 23, 2020

This course covers all types of Simple Regressions. Instructor explained the complex topics in simple language. Relevant examples from clinical field and thorough explanation by the Instructor.

EL
May 8, 2021

Another exceptional class by Dr. John McGready. Clear and concise with many real-world research reviews that make challenging subjects such as logistic regression much more easy to understand.

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51 - 53 of 53 Reviews for Simple Regression Analysis in Public Health

By amoulay

Jul 24, 2021

Another great course! A bit tougher than the previous 2 but workable. The only regret is a few mistakes here and there that were never addressed by the instructor.

By Karen U H

Oct 19, 2019

The course content was great. However, there was some technical problems.

By Albert B

Jun 24, 2020

perfect but no materials for reminding