Name: Multiple Regression Analysis in Public Health
Brand: Johns Hopkins University
Availability: OnlineOnly
Rating: 4.8 (68 reviews)

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

4.8

stars

328 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, 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....

Top reviews

May 28, 2023

The course simplifies important concepts in understanding biostatistics using detailed and explanations and examples

Apr 22, 2023

Recommended for beginners in the field. Instructor John McGready presents the otherwise complex concepts of Biostatistics straightforwardly, with many examples and a perfect pace.

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51 - 68 of 68 Reviews for Multiple Regression Analysis in Public Health

By E. R L

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Oct 4, 2019

Dr McGready is the best.

By Ronei C

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Dec 13, 2019

curso espetacular!

By Alessandro G

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Aug 24, 2024

very effective

By diana C R T

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May 28, 2022

ayuda bastante

By Jose C E

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Oct 25, 2021

Great course!

By Rehab a

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Oct 31, 2023

very helpful

By Saw N

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Aug 18, 2020

Great course

By Shakil A S

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Nov 30, 2020

Amazing one

By KATHAWOOT

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May 5, 2020

Good topic

By DARWIN A L F

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Feb 4, 2021

Excelente

By Jhumur S

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May 29, 2020

Very good

By Jeshua R G

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Feb 16, 2020

Excelente

By SADEEM T R A S T R A

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Mar 22, 2026

Good

By Afra A A

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Dec 9, 2021

good

By Mohammad K M

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May 4, 2023

By sayhigreg@yahoo.com

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Sep 11, 2023

The interactive nature of the course makes it student oriented while the weekly assignments keep students on their toes and encourage completion of the course.