Survival Analysis Part 1 | What is Censoring?

This video introduces Survival Analysis, and particularly focuses on explaining what censoring is in survival analysis. This video is the first in a series of videos covering survival analysis. The series contains videos that explain the concepts as well as vides that show implementation using the statistical software R.

These videos were put together quickly in response to the COVID-19 pandemic, and are being used as we transition classes to be online for the remainder of the year.

►► Watch More:


Follow MarinStatsLectures


Our Team:
Content Creator: Mike Marin (B.Sc., MSc.) Senior Instructor at UBC.
Producer and Creative Manager: Ladan Hamadani (B.Sc., BA., MPH)

These videos are created by #marinstatslectures to support some statistics courses at the University of British Columbia (UBC) (#IntroductoryStatistics and #RVideoTutorials ), although we make all videos available to the everyone everywhere for free.

Thanks for watching! Have fun and remember that statistics is almost as beautiful as a unicorn!

#statistics #rprogramming

[pravinmadheswaran]

This came after watching so many confusing and shitty articles,
your videos are the best!

[dtox]

one of the best teacher on youtube. thank you for explaining this so well

[kiyankalati]

Thank you so much. I learned more from this 9 min video than a whole lengthy lecture. I just love it when complicated things finally fall into place and you start seeing things clearly.

[arfabadar]

Finally I got a useful series of survival analysis on your channel, Thanks a lot.

[carlalden]

Thank you, your videos are clear and concise and I understand survival analysis much better from just watching this. You are great!

[guidobarducci]

Do you have any books to recommend on the topic?

[xiaojunyip]

Thanks for the videos. I now understand a lot better about Survival Analysis than reading online articles. All my doubts and confusions are cleared away, and I have a much better idea on how to tackle my R project! :)

[Mattmfu]

This is my fault for not watching the first video first. I couldnt make sense of survival tables in R and now it all makes sense. Ligthbulb moment

[shahjahanbd]

Awesome lecture! Very easy to follow and easy to understand clearly! You are great!!!

[vikvin_DataAndStats]

Very nicely done. Your explanation is very easy to follow. My understanding has considerably increased on this topic. THANK YOU!

[yiangseng]

Thank you for the wonderfully helpful video! One question, though. At 0:26, oh, really? Isn't the 'time' the X? The explanatory variable? I don't think it is Y. No?

[romanatorx]

Amazing explanation of the censoring! Thank you :)

[connectedfarmers]

Your video is very useful, simple explanatory method and brief lesson. Thanks a million for sharing.

[asthamalhotra]

THak you for all your videos. I just landed a brilliant opportunity. Thanks again.

[skylarbillingsley]

This made so much sense! Thank you for these videos!

[birasafabrice]

these are very great tutorials, thanks a lot!

[HanhNguyen-xxqb]

Thanks for an extremely informative video!

[SaveSoilSaveSoil]

The explanation is very helpful. Thank you very much!

[thiagoluz]

Thank you professor. I am enjoying very much your channel.

[anmolpardeshi]

the left and right censoring that you mention is that same as left and right truncation? (staggered entry is another name for it?)