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

4.7
45 ratings
5 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....

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1 - 5 of 5 Reviews for Simple Regression Analysis in Public Health

By Mohammed S U

Jul 13, 2019

Excellent course -

By Ulrick S K K

Jul 27, 2019

Very practical course. The tutor makes complex concepts seem easy.

By Sutopa T

Aug 28, 2019

I would like to thank the instructor. Sir, you have explained everything so well and clearly step by step. It has been very helpful

By Anurag M

Jan 13, 2019

The Question and Answer section needs a few corrections, some incorrect answers are marked as correct. Simple linear regression analysis with continuous predictor is missing and the one for logistic regression in used its place.

By Cassandra N

Jul 27, 2019

Great course! The organization and explanations were a little confusing for this course and the exams compared to the others. Despite this, I learned a lot of useful information and appreciate the effort and organization dedicated to helping students learn the material.