Survival Analysis Part 12 | Checking Cox PH Model Assumptions in R with RStudio

[@sskfrey]

Excellent. Looking forward to the script when you upload it. This course answered some questions I had after working through Kleinbaum‘s Survival Analysis: A self-learning Text. Thank you 🙏🏻

[@felipealvarezman]

I find your classes really interesting. I wonder if there will be more videos explaining the fitting of survival with the parametric models (exponential and Weibull). I would really love to see them. Thank you very much in advance. I really appreciate your work!

[@sintmulberg9707]

Your videos are very interesting! You explain concepts and their procedures very nicely and in a way that is easy to understand for anyone. I would love to see your video/s on mixed cox model and how to check proportional hazard assumptions in this model. Thank you so much! Keep the good work up!

[@christinap802]

Wonderful refresher. Clearly explained, helpful tips. Great work!

[@njk8219]

This lecture is so helpful thanks a lot!

[@langelaily]

Thank you for this course. Great explanations and very helpful!

[@kayleeeileen2562]

YOU ARE A GODSEND.

[@pablofernandezesteberena7456]

Thank you for these explanations! Are the codes available for everyone to download?

[@nyirahabimanahyacinthe6608]

Thank you very much for your explicit and concise videos on survival models. Could you please share explanations about Weibull distribution model , its assumption, interpretation of results and key results one would present from the model? And could you suggest books to read about these models? Thank you.

[@salonibhogale8420]

Hello, thank you so much for creating these videos. Where can we access the R scripts from?

[@danielwikstromshemer5947]

I wonder that too!

[@nguyenvuthanh9964]

It's really useful, thank you very much!

[@vurtuali]

Thank you for these lectures, they are very useful. Did you share the R code anywhere?

[@zhiyaoxie6511]

How to deal with cases which do not meet Cox PH Model Assumptions in R? Thanks

[@CanDoSo_org]

Thanks, Marin. Could you please upload the rscript?

[@ropa29]

Respected sir Could you suggest standard reference books for learning R in detail. I am following all of your lectures, it is very helpful all of my university friends following this lecture series. Thank you

[@pradipmoon7469]

If the concordance index is less for example c-index 0.5. How we can improve this concordance index in R language? If we used optimisation method then which parameters we need to used in Coxph function. Thank you.

[@thiagoluz1052]

great great great, very good. I just can say that.

[@lilyha2470]

Hi, are next set of videos again coming on Wednesday or sooner?

[@marinstatlectures]

Yes. Those correspond to the last lecture for the course, and are a course overview. Once things settle down, I hope to record lectures for the first ~9 weeks of the course, although it will take some time to get to making those

[@lilyha2470]

@@marinstatlectures Could you suggest any reference for time varying variables and cox model please? I have a journal club and the variable transplant is time-dependent and therefore instead of HR they reported hazard factor, I wish to learn more about this. Thanks

[@rahilsayani5343]

waiting for part 13

[@panaakhmetniyaz3231]

Did you find it ?

[@lindasa5968]

why you always separate categorical and continuous variables? that is misleading.

[@marinstatlectures]

I’m sorry, I do not understand what you are trying to say in your comment. If you can clarify what you mean I may be able to help you out