Censoring and Truncation + LOADS OF EXAMPLES - [Survival Analysis 2/8]

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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 ********

********************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.

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.

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.

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.

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.
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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!

JT
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wow....u made it soooo easy....its written is so difficult way in the books...thank you so much

rohail
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Amazing. I look forward for the next parts!

brandonhonanta
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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!!!

preetygautam
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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?)

stephenclark
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I finally find someone explaining statistics is a simple yet detailed way... BUT all the videos i need are still in production :'(

Popcorn
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When can we watch the rest of the videos please?

karannchew
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You're an amazing lecturer! This is a perfect series for learning epidemiology. I look so much forward to the next episode.

dr.navidsoltani
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Could you upload other videos soon, I have my exams on march !

primeshchanaka
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When will you updated the next video please update soon

srilakshmiramkumar
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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.

llagastimbrynnert.
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Sir, please upload remaining videos please sir...

rahulbharti
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Please keep making these videos. Great content thank you

Account-ficu
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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.

yefersoncastanopineda
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David is tat you. Just a little confused. Am in hopes. Please reply You remind me.of that

arlene
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Thank you Justin! When will you put out the next video?

Truth_Matters
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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.

fernandoaloisiohm
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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

martynasvenckus
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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).

changyang
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We say men-ark' or muh naar' kee in the US. LOL. I don't care for the 2nd option. It sounds like malarkey

feurigerStern