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Holy s***. I have been thinking about this problem for years and at least conceptually this seems like the solution to my problem. Very excited to try this out. Thank you!

Absolutely one of the best talks on youtube for survival analysis with competing risks. Cringed with a yikes at the interruption for questions at 55:40 when he is mid-sentence and mid-concept trying to get to cause-specific vs subdistribution etc.

Excellent presentation, thank you Prof. Sutradhar.

thanks alot

Great talk, tyvm!

Excellent presentation. Thank you for taking the time to explain all of this.

Hello, thank you for this great repo. But can you please tell me how can we get deduplicated enity for eg in fake_1000 dataset, let say I trained a model but now I want to use this to get deduplicated enityt/ cluster Id with most common values for each field. Please help me

ImportError: cannot import name 'exact_match' from 'splink.comparison_library' (C:\Python311\Lib\site-packages\splink\comparison_library.py) i am getting this issue how to resolve it?

Excellent presentation! Thanks so much for sharing!

Thanks for the presentation. We are trying to begin using Splink. Can you please let me know how to reach you the get some practice files.

an excellent lecture that saved me during epidemiology class. Thank you !

Amazed by how simple she made quantile regression to understand. Thanks!

any comparison to graph algorithms on the same use case?

Excellent, one of the best lectures ever on survival analysis and competing risks. Thanks Peter.

Bohnenmafia! #neverforget

Thank you. Very insightful

Thank you so much! great lecture

When using the msm procedure in R is censored modeled as a state, with time set to zero or is it not included as a state? Thanks

Excellent speech - Thank you. Which procedure in SAS are you using?

Hi! Quick Question: what linker method corresponds to the chart displayed after training the u parameter (25:16)?

Great video for understanding Survival Analysis!

woow very telling graph 24:15

Thank you! Very well explained.

I will be forever greatful to Dr Okosodo , because I was to that herpes virus got no cure not until get in contact with Dr Okosodo , he is indeed a great traditional healer and really good at what he does and he is also kind hearted Words can't express my gratitude just know I am greatful to you and will always be loyal to you anytime any day ...... Pm for information

That is a very good piece of work in explaning quantile regression. Blessings!

je peux avoir le script s'il vous plait?

high quality, thank you!

Very well explained. Thanks a lot.

Is it possible to get the slideshow in pdf form? Also, to whom do we write if we have questions?

Thanks for posting this, is the presentation available somewhere?

excellent talk!

Very excellent speech. Thank you.

Outstanding presentation - thank you for posting!

Is it possible to get the r script?

Thanks so much. Excellent explanation, clear and understandable. Blessings

We were recently asked the following question from a past webinar participant: Question: "When we use IPTW as different time points to get the estimates, how will we pool them together to sum up a final hazard ratio?" Answer: This is done using a weighted model approach. For code and an example using Cox refer to academic.oup.com/aje/article/180/2/160/2739160

very nice presentation. I have a question about the competing risk in multi-state model. what kind of method is used in multi-state model, cause-specific or sub-distribution hazard model? Or another method?

Well explained. Thanks

Thank you! really useful ad helpful

je peux avoir le script (R) pour tester sur les données de mon pays??

Thank you very much. very useful.

This is one of the best lectures on Survival Analysis.

Really helpful, thanks!

Nice presentation ! However I have some questions. First, I don't see the motivation behind disease identification, isn't the disease already identified by the physician and stored somewhere in the database ? Also, when you refer to data "linkage", do you imply the creation of a knowledge graph / graph database ( linked data ), or do you simply mean the data combination of these data sources ? Thanks :)

The video starts at 9:00

how can we calculate sample size for computing risk regression model is it differ from survival technique or different? 2. can we apply competing risk with prediction model in asingle study?

Thanks for this presentation. In the context of bank credit risk: If the primary event is time to loan default and say the the client closes and repays the loan account prior to loan maturity, i.e. loan is repaid and the account is closed (this event happened prior to loan default) and default is thus no longer possible. Is the account closure event a competing risk?

Really well explained! Thank you! Has helped me a lot!

I love this! Thank you so much