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Learner Reviews & Feedback for Simple Regression Analysis in Public Health by Johns Hopkins University
384 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
PV
Sep 5, 2020
Such complex concepts explained with ease. The section on confounding requires more than one reading. Really enjoyed it.
SR
Dec 9, 2020
Complex analyses clearly explained, with an emphasis on interpretation rather than on mechanics. Excellent examples from published literature used throughout. Highly recommended!
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By Talal A
•Feb 10, 2025
The course was very hard and complicated for the regular non medical student