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Comentários e feedback de alunos de Logistic Regression in R for Public Health da instituição Imperial College London

315 classificações
65 avaliações

Sobre o curso

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!...

Melhores avaliações


18 de dez de 2020

Very good specialisation on logistic regression, with depth info not only on how-to of the model creation itself, but interpreting and choosing between multiple ones. I fully recommend it.


23 de dez de 2020

This is a wonderful course. Anyone who wants to model a binary classification model must go for this course. It covers everything in details with logic and humour.

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26 — 50 de 64 Avaliações para o Logistic Regression in R for Public Health

por Sara A

30 de mar de 2020

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

por Pau G

3 de mar de 2020

A good overview of Logistic Regression from zero.

A very useful tool for public health data

por Moses C B A

1 de abr de 2019

This is one of the best courses. Dr. Alex is amazing and delivers the content quite well.

por Dwayne R T

25 de jan de 2021

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

por Fidel G

19 de jan de 2020

Awesome course and looking forwards to dive into more Statistical analysis

por Arnt D

20 de jul de 2020

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

por yi j

1 de fev de 2020

Very practical and explicit course about logistic regression.

por Adriana R V

19 de nov de 2020

Excellent, great teacher and very clear code instructions.

por Joseph L

28 de ago de 2020

Good, easy to follow introduction to logistic regression

por M. A S

11 de abr de 2021

Excellent course. Prof Bottle is great.


por Dhan K B

19 de out de 2020

I learned regression in R through this course

por Khan S I

15 de mar de 2021

The course was worth the time and efforts.

por Victor I M

24 de set de 2020

Excellent demonstrations and explanations.

por Shek L T

15 de mai de 2020

Excellent teaching! very useful R codes!

por Enrique L

27 de mar de 2020

Really good course!! Highly recommended.

por qianmengxiao

14 de abr de 2020

I like this course!The prof is good

por Shova P

15 de jul de 2019

Course is very easy to follow

por Don E

31 de jul de 2020

AWESOME. Very organized.

por Jin C

15 de jul de 2020

Thank you

You are the best!

por Ning D

27 de jul de 2019

very recommendable course

por JOEL C H M

2 de ago de 2020

It was so useful

por fabien M

19 de abr de 2020

Very interesting

por Yasna P S

4 de mar de 2020

Excellent course

por Martina

27 de jul de 2021

Amazing course!

por TANG

30 de out de 2019

Very helpful!