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Learner Reviews & Feedback for Survival Analysis in R for Public Health by Imperial College London

4.5
stars
328 ratings

About the Course

Welcome to Survival Analysis in R for Public Health! The three earlier courses in this series covered statistical thinking, correlation, linear
regression and logistic regression. This one will show you how to run survival – or “time to event” – analysis, explaining what’s meant by
familiar-sounding but deceptive terms like hazard and censoring, which have specific meanings in this context. Using the popular and
completely free software R, you’ll learn how to take a data set from scratch, import it into R, run essential descriptive analyses to get to know
the data’s features and quirks, and progress from Kaplan-Meier plots through to multiple Cox regression. You’ll use data simu...
...

Top reviews

LA

Jul 2, 2020

Great course superb support and very clear professor. This course is a good motivator to continue to explore public health and statistics.

AM

Oct 24, 2024

This was an excellent course, The explanations were so plain and good. Huge thanks to the instructor - Alex Bottle to making this course.

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51 - 73 of 73 Reviews for Survival Analysis in R for Public Health

By Yan X

Nov 22, 2019

The final quiz is a little bit confusing ,pls provide detailed feedback on it so we can learn further even we did not pass it.

By Zia U H K

Nov 26, 2024

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

By Vajini A

Jan 30, 2021

Good intro, just wish there would be an intro to more advanced methods (e.g. time varying covariates).

By OSCAR G R

Aug 16, 2023

Excelente curso para comenzar a comprender las aplicaciones del analisis de sobrevivencia

By Pau G

Mar 17, 2020

A fantasic intro to learn survival analysis where the time to the outcome is important

By Deleted A

Oct 23, 2021

The legends are wrong in english and portuguese, but the course is great!

By Basilio G

May 13, 2019

High-quality, thoroughly-designed, hands-on, introductory course.

By Silvia P

Dec 28, 2024

Good for my interest and for money

By Thiago Y

Dec 6, 2021

Great course for any person

By Jaideepsinh d

Jan 11, 2021

good in detailed

By Sara K

Apr 17, 2020

It made learning very frustrating in every sense. Grading system has obviously some errors and nobody provides answers on Discussion forum. Final questions are formed in a way that was quite confusing to me and I never had that problem before also in much harder courses. Important things are not well explained including the mathematics behind. These is a lot of space for improving this course to make it better which is a pity because the course has some good moments as well.

By NG, S L

Sep 3, 2020

The transcript is poorly made so I could not save notes without translating the transcript. There are bugs in quizzes (wrong model answer) too. Otherwise, I have gain much knowledge about Cox's regression.

By Shengyang L

Feb 28, 2020

Got some setting error and not yet be fixed in week 4. The incorrect setting or answer set prevent the student from passing the quiz and proceed the course.

By Jiasi H

Dec 7, 2019

It is a nice course! However, the video transcripts are very problematic. Since I like taking notes from transcripts, it creates some inconvenience for me

By Nqobile N

Jan 7, 2024

Would appreciate to be allowed to complete the course a I was awarded a scholarship but the very last quiz refuses me to submit demanding I upgrade.

By Edward J

May 23, 2021

Really enjoyed the course and the instructor was very engaging. However, the wording in some of the assessments is woeful and extremely frustrating.

By Mark R

Jan 4, 2023

Was a good overview of the basics of survival analysis, would have liked it to go into more depth, and feedback on assignments was very limited.

By Jean-Philippe M

Feb 2, 2021

Great course overall but this last one, tests and course explanations were not aligned if my opinion.

By Yinhao W

Sep 14, 2021

The feedback on the quizzes is extremely inadequate. Very difficult to understand your mistakes.

By Xinyu W

Mar 10, 2020

not a lot of technical details are explained in this course thus a bit hard to understand

By Zijun L

Apr 23, 2023

entry level course. too basic. expected to learn more.

By Ibrahim D K

Apr 16, 2020

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By Jia L

Nov 19, 2021

Rarely any clear explanation, no formulas at all. Just making conclusions on statistics but not telling why. Truly doesn't worth the time. I would rather spend much more time reading a book rather than going over such reckless and seemingly good papers and projects.