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

4.7
stars
389 ratings

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

AS

Apr 24, 2025

This course is a great resource for gaining a deep understanding of clinical trial data and the models produced by simple regression algorithms.

MM

Apr 2, 2021

Very exciting course, comparing to the previous courses it is completely new to me. Thanks to Ph.D. MS John McCready and to Johns Hopkins University

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76 - 79 of 79 Reviews for Simple Regression Analysis in Public Health

By Albert B

•

Jun 25, 2020

perfect but no materials for reminding

By Benjamin B

•

May 27, 2022

Continues to be way too much then is nessessary.

The way the weeks work is odd. There are two sections in Week 1 but Week 4 is just the final quiz. Feels like th two sections should be Week 1 then Week 2.

Finally, this professor is inconsistant on delivery of solutions to the quizzes. First class was in pdf form, second class didn't have them at all and this class had links to videos.

By Dure n

•

Oct 31, 2025

I started the course but its too much Math oriented. Not suitable for Public health professionals or students. He starts with complex things and we have to wait for examples to get some clarity.

By Talal A

•

Feb 10, 2025

The course was very hard and complicated for the regular non medical student