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

4.8
stars
366 ratings

About the Course

Welcome to Logistic Regression in R for Public Health! Why logistic regression for public health rather than just logistic regression? Well, there are some particular considerations for every data set, and public health data sets have particular features that need special attention. In a word, they're messy. Like the others in the series, this is a hands-on course, giving you plenty of practice with R on real-life, messy data, with predicting who has diabetes from a set of patient characteristics as the worked example for this course. Additionally, the interpretation of the outputs from the regression model can differ depending on the perspective that you take, and public health doesn’t just take the perspective of an individual patient but must also consider the population angle. That said, much of what is covered in this course is true for logistic regression when applied to any data set, so you will be able to apply the principles of this course to logistic regression more broadly too. By the end of this course, you will be able to: Explain when it is valid to use logistic regression Define odds and odds ratios Run simple and multiple logistic regression analysis in R and interpret the output Evaluate the model assumptions for multiple logistic regression in R Describe and compare some common ways to choose a multiple regression model This course builds on skills such as hypothesis testing, p values, and how to use R, which are covered in the first two courses of the Statistics for Public Health specialisation. If you are unfamiliar with these skills, we suggest you review Statistical Thinking for Public Health and Linear Regression for Public Health before beginning this course. If you are already familiar with these skills, we are confident that you will enjoy furthering your knowledge and skills in Statistics for Public Health: Logistic Regression for Public Health. We hope you enjoy the course!...

Top reviews

ID

Jan 24, 2022

The course needs more exercises to practice R! Good Professors! Clear and Friendly expositions, thanks a lot!

AO

Sep 11, 2019

would have helped if there were even a glance about logistic with multiple outcomes

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26 - 50 of 76 Reviews for Logistic Regression in R for Public Health

By Elisabeth P

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Feb 12, 2021

Very clear instructions and lots of practical assessments. Very good course if you're starting with your journey of data analysis.

By Paweł P

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Nov 23, 2022

Great tutor, great value for money. Clear explanation of how R goes (for me, a total beginner to any programming languages).

By Sergio P

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Oct 18, 2019

Amazing course. I'm looking forward to the survival analysis course. Week 3 is specially good. I'm sure you'll have fun.

By Qu Y

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Aug 9, 2022

That would be greater to use more examples to demonstrate the analysis of model fit. Overall this course is nice.

By Diana C

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Mar 6, 2022

Great practical way to learn how to do logistic regression in R. It reviews the theory and it applies it in R.

By Info D

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Jan 25, 2022

The course needs more exercises to practice R! Good Professors! Clear and Friendly expositions, thanks a lot!

By Zia U H K

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Nov 26, 2024

An excellent introductory course. I hope they offer an advanced version of this specialization as well.

By Sara A

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Mar 30, 2020

Very valuable information presented in a very clear way. It was super useful to me. Thanks!

By Pau G

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Mar 3, 2020

A good overview of Logistic Regression from zero.

A very useful tool for public health data

By Dwayne R T

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Jan 25, 2021

The material is comprehensive and the lecturer is amazing at explaining principles.

By Fidel G

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Jan 19, 2020

Awesome course and looking forwards to dive into more Statistical analysis

By Arnt D

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Jul 20, 2020

Excellent course. To the point explanations with a good sense of humour.

By yi j

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Feb 1, 2020

Very practical and explicit course about logistic regression.

By Ahmed A M E

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Apr 15, 2023

Great Course that helps me expanding my previous knowledge

By Adriana R V

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Nov 19, 2020

Excellent, great teacher and very clear code instructions.

By Joseph L

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Aug 28, 2020

Good, easy to follow introduction to logistic regression

By Gunet M

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Jul 12, 2024

its a very simply explained but insightful course

By Paul M

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May 10, 2023

The facilitator made it so easy to understand.

By M. A S

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Apr 11, 2021

Excellent course. Prof Bottle is great.

Thanks

By Dhan K B

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Oct 19, 2020

I learned regression in R through this course

By Habtemu J H

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May 7, 2023

Wow! I am very happy about this achievement!

By Sumaiya I

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Mar 15, 2021

The course was worth the time and efforts.

By Víctor I M R

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Sep 24, 2020

Excellent demonstrations and explanations.

By Shek L T

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May 15, 2020

Excellent teaching! very useful R codes!

By Enrique L

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Mar 27, 2020

Really good course!! Highly recommended.