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

4.5
stars
304 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 simulated from real, messy patient-level data for patients admitted to hospital with heart failure and learn how to explore which factors predict their subsequent mortality. You’ll learn how to test model assumptions and fit to the data and some simple tricks to get round common problems that real public health data have. There will be mini-quizzes on the videos and the R exercises with feedback along the way to check your understanding. Prerequisites Some formulae are given to aid understanding, but this is not one of those courses where you need a mathematics degree to follow it. You will need basic numeracy (for example, we will not use calculus) and familiarity with graphical and tabular ways of presenting results. The three previous courses in the series explained concepts such as hypothesis testing, p values, confidence intervals, correlation and regression and showed how to install R and run basic commands. In this course, we will recap all these core ideas in brief, but if you are unfamiliar with them, then you may prefer to take the first course in particular, Statistical Thinking in Public Health, and perhaps also the second, on linear regression, before embarking on this one....

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.

VD

Aug 26, 2019

Good and practical introduction to survival analysis. I liked the emphasis on how to deal with practical data sets and data problems.

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51 - 70 of 70 Reviews for Survival Analysis in R for Public Health

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 P

May 13, 2019

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

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 4, 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.