Overall, the series on Stats in Public Health was worthwhile, well-constructed, and very informative. This last course (survival analysis) was equally informative, but desperately needs attention to the course presentation. The video transcripts were still raw (there needs to be an easy way for students like me who created cleaned video transcripts to upload them), two of the Week 4 quizzes would not accept the correct answers generated by the current software release (answer key needs to be updated), and the course itself needs someone to spend a few hours looking for bugs, typos, and doing polishing. The content is great but the presentation undermines it. Still, I would recommend the series, the course, and the instructors to other students.

This course does not discuss different types of survival model such as competitive event models. It only discusses very basic ideas such as the hazard function and the cox model which could be discussed in like 20 minutes. There are a lot of unnecessary discussion around multivariate regression and missing values that belong to a course on regression analysis and not survival analysis. The R code is a bit faulty and could be improved. Overall, I don't think this could be a good course on survival analysis.

There are few videos and too much text. The exercises have not been well prepared and some outcomes and results have not been discussed, in particular for different types of residuals in the last week.

Very shallow and uninformative. Nothing that cannot be learned with a 30 minutes read plus another 30 minutes looking at the survival package in R. Certainly doesn't merit the cost of subscribing to the specialization

I expected the course to be more in-depth about the theory about survival analysis, but it only covers the very basics and the exercises are simply copying-and-pasting some R statements and getting some p-values.

The course has been designed to cater to the requirement of budding public health professionals who want to enhance their skills beyond basic of epidemiology and biostatistics and gain a competitive edge.

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

This course can be improved by fixing mistakes (especially the ones on quizzes), and instructors need to be more active on the forums and help students with questions.

A bit thank you to Alex Bottle for planning this course in such a nice way. I completely agree on his choice to leave out as much algebra as possible, and i like his way to talk through all the topics with a simple (though precise) language. I'll be missing it when, in the future, i will try to find help or guidance in some forum or website full of formal statistical language (eg. just look at the R online help for functions)

Thanks a lot again. Now that i've finished this specialization i'm more confident in dealing with health data and, who know, i may embark in some advanced statistical course! ;)

Very nice course to get an introduction on survival analysis in R.

Well organized combination of theory and practice.

Also very nice it you have previous experience on survival analysis with other software like STATA.

Keep in mind that it is for a beginner level and basically covers kaplan-meier and cox, that's all.

Great introduction to survival analysis, explaining key concepts in a simple and effective manner. The combination of videos, reading material and practical R sessions were a great variety and kept you engaged. Minimal prior knowledge required, and a great practical application. Would highly recommend this course!

Brilliant course from the Imperial team taking you through survival analysis using R. Practical, applicable and well explained. I finally understood a topic that I have had trouble with. It builds upon foudnations and beautfilly builds as u progress. it uses assessments really well to test knowledge

I took the entire specialization, and I am delighted I did!

All 4 courses in this specialization are wonderfully designed for beginners such as myself to get into statistics and R!

A big thank you to both instructors, you did a great job!

Excelente curso introductorio para el análisis de sobrevida! Repasa los conceptos básicos de manera muy didáctica y llevadera. 100% recomendable para aquellos que quieran iniciar el proceso de análisis de tiempo al evento!

Good introduction to survival analysis! There are plenty of practices and after the course I am ready for real analysis in my study project!

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

Thanks the course team especailly the instructor presenting great martirals, hope to see more related courses with more mathematics in it!

Excellent course to learn about survival analysis, with very explicit explications of the application of the models on R

Very well explained including aspects not commonly covered in other tutorials such as assumptions testing.

Very enjoyable course, and simple but effective application using R which I know very well in my practice

Great! It's very interesting! Thank you. I would like to find out about prediction based on Cox model

The course is wonderful and very informative. Only feedback is the final quiz was pretty hard.

Highly recommended. This course is very constructive and is a good start for R beginner.

Excellent course. Definitely a MUST DO if you would like to learn statistics in RStudio.

The course is very interesting and provides insight into the use of survival analysis.