Censoring and Truncation + LOADS OF EXAMPLES - [Survival Analysis 2/8]
ฝัง
- เผยแพร่เมื่อ 2 ส.ค. 2024
- See all my videos at www.zstatistics.com/videos
0:00 Intro | 0:37 CENSORING | 2:46 Example - Right censoring | 5:18 Example - Left censoring | 6:55 Example - Interval censoring | 8:25 TRUNCATION | 10:07 Example- Left truncation | 11:35 Example - Right truncation |
*****Survival Analysis Playlist *******
• Survival Analysis
*******************RESEARCH REFERENCED*****************
Gilbert, S. L., Lindberg, M. S., Hundertmark, K. J., & Person, D. K. (2014). Dead before detection: addressing the effects of left truncation on survival estimation and ecological inference for neonates. Methods in Ecology and Evolution, 5(10), 992-1001.
besjournals.onlinelibrary.wil...
Kalbfleisch, J. D., & Lawless, J. F. (1989). Estimating the incubation time distribution and expected number of cases of transfusion‐associated acquired immune deficiency syndrome. Transfusion, 29(8), 672-676.
onlinelibrary.wiley.com/doi/a...
Rodrigues, A. S., Calsavara, V. F., Silva, F. I., Alves, F. A., & Vivas, A. P. (2018). Use of interval-censored survival data as an alternative to Kaplan-Meier survival curves: studies of oral lesion occurrence in liver transplants and cancer recurrence. Applied Cancer Research, 38(1), 16.
appliedcr.biomedcentral.com/a...
Wahutu, M., Vesely, S. K., Campbell, J., Pate, A., Salvatore, A. L., & Janitz, A. E. (2016). Pancreatic Cancer: A Survival Analysis Study in Oklahoma. The Journal of the Oklahoma State Medical Association, 109(7-8), 391.
www.ncbi.nlm.nih.gov/pmc/arti...
Wohlfahrt-Veje, C., Mouritsen, A., Hagen, C. P., Tinggaard, J., Mieritz, M. G., Boas, M., ... & Main, K. M. (2016). Pubertal onset in boys and girls is influenced by pubertal timing of both parents. The Journal of Clinical Endocrinology & Metabolism, 101(7), 2667-2674.
academic.oup.com/jcem/article...
![Life Tables - [Survival Analysis 3/8]](http://i.ytimg.com/vi/Dfe59glNXAQ/mqdefault.jpg)
![Life Tables - [Survival Analysis 3/8]](/img/tr.png)
![Kaplan-Meier Curves and Log-rank Test - [Survival Analysis 4/8]](http://i.ytimg.com/vi/lxoWsVco_iM/mqdefault.jpg)
You're an amazing lecturer! This is a perfect series for learning epidemiology. I look so much forward to the next episode.
Thanks a lot for Justin for making these videos on Survival analysis. This is a great detail video on Censoring. Looking forward to more videos on this topic. This series probably won't generate much views initially as Survival analysis is not that popular in comparison to other algorithms but trust me dude, this series will help generations because there is hardly any content on this. Cheers and have a great new year!
Very much appreciate this, Udyot. I have also had that same thought, and it is nice to hear that you think they will be appreciated :)
Already excited for the next parts! Great content, thank you!
Could not find any concrete information for the topic on Udemy or LinkedIn Learning and here comes amazing content for free. Made my day : ) Thanks Justin!
Omg! Finally someone who explains this in an understandable manner!! You just saved me from failing my class 💜
Hey, I have always learned a lot from your videos and once again you have come for the rescue when i want to learn survival analysis...Thanks a ton for making these.. please upload other videos as well.. i am in dire need to comprehend these topics. much love!!!
Thank you for providing the details of these contents so clear and simple, really help me a lot
Great explanation! Looking forward for the next videos of this series
I'm really wondering!!! without these well constructed lecture videos, how we would understand these difficult and complicated statistical concepts. The ideas remain flying around our brains until watching those nice videos, then they come to land smoothly and be fixed in our minds. Thanks a lot ZSTATISTICS
Been waiting for the second one for so long !!
Waiting for your further uploads of videos on this series. Thanks for your efforts!
I finally find someone explaining statistics is a simple yet detailed way... BUT all the videos i need are still in production :'(
Please keep making these videos. Great content thank you
Amazing. I look forward for the next parts!
Excellent videos. Looking forward to the rest!
More of these please! Your discussion is easy to understand and fun to listen to. Keep it up sir! 💕
Edit: I have a question. Can we do multiple censoring and truncation in a research? For example, there are too short and too long time duration in my data.
Excellent, Justin! Thank you!
Best. Simplest. Explanations. Ever!!!
Thank you so much. It has taken me months to understand. Examples are well explained. :):)
You're an amazing lecturer! Great content, thank you!
Eagerly waiting for the next video.
Excellent! waiting for the rest.
I like your videos, they are very clear and well structured. When are you going to upload the other videos? I need them urgently for my test next week. Thank you so much for your efforts!
What lovely extraordinary teaching method I had seen!
Really appreciate this entire series. Especially the fact that you prepared concise content that is easy to understand and has actual paper references. I'd keep the entire survival analysis series as a personal reference. (It doesn't matter that this is still in progress)
Are you also going to cover Restricted mean analysis?
One callout - In the video description, I got a bit lost identifying the exact paper because the paper title differed from the study objective you presented in video. Could you also add a couple of words in beginning to clarify which paper is for which concept? (got lost for Right truncation)
The video is marvelous
Thank you very much, doctor
Amazing videos!!!
Please upload the full series.. waiting for the complete series sir
wow....u made it soooo easy....its written is so difficult way in the books...thank you so much
Great video, thank you very much 👍
youa are the best; than you for making the material more understandable.
Fantastic!
Thank you! I'm actually using your videos as a review for my new job. I don't remember anything from grad school haha.
Doctor + statistics student here! Awesome video as usual.
Just thought I would point out that the word menarche is actually pronounced mɛˈnɑːki (mi-NAR-kee).
Yes! It comes from Greek μήν - mēn (month) + ἀρχή - arkhē (beginning), thus, beginning of the month.
Thank you so much for sharing. Such an amazing lecture. So clear! May I ask when will the rest videos out?
Might take me a while! Currently working in a demanding full time role. But it'll happen :)
Great..very informative..thanks for sharing...plz upload more series soon
Thank you Justin! When will you put out the next video?
thank you very much, your videos help me a lot. Please do more videos on survival analysis.
amazing, thanks man
I'm watching all of these this week.
Wait there's only 2/8 of these? D:
What happened to the pseudo podcast? Loved hearing you guys chat about science and things. Please release the next one soon!
Great thanks ,if possible please make some video on structural equation modelling and Multivariate analysis
thanks for this informative video
When can we watch the rest of the videos please?
thank you so much for this simple and comprehensive course. would you please put 5-8 parts ?
Could you upload other videos soon, I have my exams on march !
Thanks a ton.
Hey Zed, just started watching this series for my master thesis. Any plans on finishing this playlist in the near future? I see Episodes 5-8 are not uploaded yet. Thanks a bunch!!!!! :)
What would be the exposure if we are trying to model customer churn lets say in the next 30 days?
Thank you!
Thank you so much for your videos!! One question, what if my sample has finite time, and I know the end period of my sample the probability of experiencing the event is zero? Can I still apply the survival analysis? Would individuals that "survived" (and thus won't experience the event in the future) be considered "right-censored" still?
please when is part 3 comingggggg
Justin you're a GOAT
Thanks!
sir waiting for the next videos as yesterday it was available but today it's available not on youtube neither on the website.
kindly upload it please
plz upload your next video soon.
you are an amazing lecturer.
thank you.......
Amazing videos Justin! When do you expect the last chapters to be online?
waiting for the next video to drop!
very nice visualization. can you share with us how did you made the ppt? share some tips for the visualization part?
When will you updated the next video please update soon
Amazing. Thanks a lot, but we are waiting to complete the series on survival analyses. You stopped at 2/8?
Sir , could you please explain a few numericals on censored exponential function ? pleaseeeee
Thank you very much for this series of videos. They are really life-saving ones. One question I have is about censoring.
Can I censor a participant that was recruited from the start and exceeded the study time without showing any response?
I don't see the other videos on survival analysis. I could see only part 1 & 2 out of 8 !!!
Amazing video! But where are the other parts?!
Any idea when you're going to post the rest of the series??
I'm ready for 3-8!!!
Thank you Justin .. you are the best in this field .. how can I contact you?
Sir, please upload remaining videos please sir...
AMAZING VIDEOS!! WHERE'S 3-8 !
hi zed ı need other series where is remain six part :) ı check kleinbaum book but it s so detail ı need abstract info for my study
Hi mate. To run a survival analysis do we have to control all the individuals/population in the study? Can I have your bibliography, please? You're so good explainer.
Thank you for sharing! I just have a question about the right truncation. Say if we exclude the people that take a long time to have AIDS from our sample, the result will be biased towards the quickly-getting-AIDS direction. If this statement is true, why should we do the right truncation? Should we expand the experiment time or what are we supposed to do? Thank you!
For survival analysis does there need to be an exposure? For example, suppose for the past 5 years I have been following a set of businesses and some closed during that time, with the month of closure known, can I do survival analysis, where the closure is the death of the business. There is no actual event here that makes them of interest to me, e.g. a diagnosis of some kind, I am following all relevant businesses from time t. Of course many businesses will have existed before time t (is this left censoring?)
Hello.
I'm in doubt about the interval censoring.
Suppose that in a Clinical research one is using survival analysis to test wheter a experimental drug A is better than drug B in order to lead remission in patients. The remission is identified by clinical trials done in regular time intervals - let's say, one week. Suppose that a remission is identified in the sixth week. Is clear that the event occured in some time between fifth and sixth week, it's very unlikely that the conditions which lead to a remission classification occured in the exact moment that the clinical trial was happening.
And so on, that can be replicated to the whole sample. Regarding that every single event in a sample occured between two periods, and not exactly in one, can we say that survival analysis don't fit for that kind of research?
Or, in this very particular case is ok to assume that remission occured in time six?
Or did I misundertand the whole thing?
Regards from Brazil, and sorry if the text is not pretty good at some points.
Edit.: Let's understand remission in a general way as complete or partial.
I am currently working on a survival analysis of women with breast cancer. There are 2000 women in a dataset, 500 of which died from other cause than breast cancer (the rest were either alive or died from breast cancer). Should I remove those 500 observations, or include them into analysis? Thanks
😮😊
6:23 😆
30.12.22
what is Taeyeon is doing here?😆
Taeyeon ? 😂😂😂
The girl @2:11 looks awfully similar to Taeyeon from SNSD. Is it just me or what?
I had the same reaction when I saw that picture.
We say men-ark' or muh naar' kee in the US. LOL. I don't care for the 2nd option. It sounds like malarkey
David is tat you. Just a little confused. Am in hopes. Please reply back????? You remind me.of that person.....
1:20 What's the Asian-looking lady face doing here?🤔
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