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

4.7
stars
287 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

DK

Jul 25, 2020

lecture pattern gives enthusiasm in learning and solving quiz sessions. explanations for the solutions gives immense strength and confidence in learning. Excellant course and marvellous experience

BV

Apr 23, 2020

This course covers all types of Multiple Regressions. Instructor explained the complex topics in simple language. Relevant examples from clinical field and thorough explanation by the Instructor.

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51 - 63 of 63 Reviews for Multiple Regression Analysis in Public Health

By Jose C E

•

Oct 24, 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 29, 2020

Amazing one

By KATHAWOOT

•

May 4, 2020

Good topic

By DARWIN A L F

•

Feb 3, 2021

Excelente

By Jhumur S

•

May 29, 2020

Very good

By Jeshua R G

•

Feb 15, 2020

Excelente

By Afra A A

•

Dec 9, 2021

good

By Mohammad K M

•

May 4, 2023

hi

By sayhigreg@yahoo.com

•

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.

By Halle E M A N

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Sep 6, 2022

Great course. Strongly recommended for beginners

By Mauricio L

•

Dec 27, 2021

Buen curso, pero no aporta mucho (excepto las diferencias) sobre el curso anterior de regresiones simples. Mejorable.