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

4.7
15 ratings
2 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, you'll extend simple regression to the prediction of a single outcome of interest on the basis of multiple variables. 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 multiple logistic regression, the Spline approach, confidence intervals, p-values, multiple Cox regression, adjustment, and effect modification....

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1 - 2 of 2 Reviews for Multiple Regression Analysis in Public Health

By Shady M S

May 25, 2019

the course spends a lot of time repeating the same concepts. i would be more convinced if they spend more time in explaining how to make the multiple regressions , how many variables i can add and what are the limitations and how to make a measure of fitness

By Anurag M

Jan 21, 2019

Would love to learn more from Dr. McGready in statistical courses more advanced than the ones offered in this specialization