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Back to Linear Regression in R for Public Health

Learner Reviews & Feedback for Linear Regression in R for Public Health by Imperial College London

4.8
stars
518 ratings

About the Course

Welcome to Linear Regression in R for Public Health! Public Health has been defined as 鈥渢he art and science of preventing disease, prolonging life and promoting health through the organized efforts of society鈥�. Knowing what causes disease and what makes it worse are clearly vital parts of this. This requires the development of statistical models that describe how patient and environmental factors affect our chances of getting ill. This course will show you how to create such models from scratch, beginning with introducing you to the concept of correlation and linear regression before walking you through importing and examining your data, and then showing you how to fit models. Using the example of respiratory disease, these models will describe how patient and other factors affect outcomes such as lung function. Linear regression is one of a family of regression models, and the other courses in this series will cover two further members. Regression models have many things in common with each other, though the mathematical details differ. This course will show you how to prepare the data, assess how well the model fits the data, and test its underlying assumptions 鈥� vital tasks with any type of regression. You will use the free and versatile software package R, used by statisticians and data scientists in academia, governments and industry worldwide....

Top reviews

WB

May 9, 2023

It was my second course on coursera. It was a great journey with coursera and imperial college london. I loved this course. I have learned so much that I could not even imagine. Thanks instructor

AO

Sep 12, 2023

This is is an excellent course! Thank you for providing it to us online, and please, I look forward to have access to more advance courses on statistical analysis for public health from ICL!

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76 - 100 of 110 Reviews for Linear Regression in R for Public Health

By Jes煤s A O D

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Apr 4, 2020

excellent course, thank you very much

By MOHAMMED S

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Aug 17, 2022

This course is good value for money

By Noel J

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Jul 11, 2020

Amazing teaching,Best course.Kudos

By Tanvir A

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Oct 24, 2021

very engaging & student friendly.

By neil p

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Jan 7, 2020

Charming and really fun at 2x

By mazen j

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Nov 22, 2020

Best teaching team online

By Gerardo C P

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Aug 16, 2024

Me encant贸 este curso!

By Josef N

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Jul 1, 2020

Superb explanations!

By Mohammed a e

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Apr 29, 2020

Excellent experience

By Hamza M

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Oct 25, 2020

Exceptional course

By Dr. M

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May 16, 2020

Excellent course!!

By Enrique D O

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May 21, 2019

HIghly recommended

By Jin C

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Jul 8, 2020

best lecture ever

By Darija K

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Feb 5, 2020

Excellent course.

By Anderson S

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Jun 8, 2019

Excellent course

By Juan C M G

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Mar 20, 2021

Great course!

By Yasna P S

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Mar 5, 2020

Good course

By Astghik M

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Oct 31, 2024

Thank you!

By hippo d

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May 8, 2021

Thank you.

By Jeshua R G

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Mar 7, 2020

Excellent

By Henrique A

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Apr 13, 2019

Excelente

By Tiar S F

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May 15, 2021

it's fun

By Shakil A S

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Feb 17, 2021

amazing!

By Abdessamad B

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May 7, 2020

perfect

By RAGHUVEER S D

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Jul 25, 2020

good