Kaplan-Meier Curves and Log-rank Test - [Survival Analysis 4/8]

[@teakrose5296]

This is amazing! Can't wait for the other videos in this series to come out.

[@rishabhsharma4863]

Great Series!! Hats off, But man why you are not posting the rest of the videos, I am eagerly waiting on this and I am sure not just me there are a lot of people out there hoping you would post it soon.

[@andressanchezruiz7068]

Do not give up on this series, we are just getting to the mean point of it! Thanks for your content though, how you explain it and the way you present both the thema and the video itself, it is just amazing. Looking forward for the end of it! Hope it will be soon. Saludos,

[@pathak_amit]

Sir! Everyone is looking for the rest of the part in the series : )

[@kanoy2457]

Me too

[@krismanohar5508]

Me was well

[@BabakFiFoo]

You have no idea how eager I am to see th erest of the series! Please sir! I need the knowledge to do the calculations of my paper! especially the panel survival models!

[@sebon11]

Dude, very soon i have my master's thesis defense on this topic and need to prepare, it's amazing how great timing you have with this video :D also I wish there was cox ph models already, but it's anyway great with all the other amazing stuff on this channel

[@hrk201]

Hey how did your thesis defense go? I am currently doing masters and going to start my thesis in next few days, slightly nervous😅😅

[@TheScawer]

I cannot stress how glad I am to have access to these videos. Far better than any explanation on my uni...

[@vivianbarros6843]

I am looking forward so much to the following videos in this series!

[@jakobforslin6301]

Master's degree in econometrics here, still find your videos super helpful. Thanks a lot!

[@peihengwu]

Dude, I am a statistics major and I find your videos super helpful!

[@wouroudismailal-khalil3608]

You are absolutely amazing. I wish these videos were available when I was performing the statistics of my research. Still, I enjoyed this to the full. Looking forward to the upcoming parts of this series!!

[@yahiarafik9965]

Thank you for making something that looks so hard, easy to understand! hope to see the remaining episodes uploaded

[@venusminervaliteral7476]

looking forward for another part series

[@programming_hut]

I like your intro music 🎵 🔥 and of course the content itself is great.

[@riyavsinha]

Thank you so much! This is a brilliantly thoughtful presentation and I appreciate the depth of explanation you provided. Also thank you for illustrating the R code at the end!

[@ganquan1990]

can't wait for your next video professor!!!!!!

[@mayconmarcao4554]

Please dude, give us the cox blessing !! Well done tutorials!

[@tjc4837]

Yes! Been waiting for this for months!!

[@musclesmalone]

Man I hope you finish this playlist someday.

[@siddhantnarhare8848]

Sir please make more videos, the world needs you!!

[@m.shihamadam7664]

Hey, what a great teacher you are!I cannot believe how so mastered you as a teacher - supper articulate an so easy to understand

[@fishmastersinc7289]

Oh my goodness! Master thesis due for Marine Biology in 5 weeks. Crucnch time for Surival analysis in tetrasprophytes in Asparagopsis for methane reductin in cattle. You are the absolute best_10000 times better than my UWA stats units which sucked!

[@OwenMcKinley]

The Zed master returns! We're all thoroughly celebrating!

[@ashrafabir3274]

Yes, was waiting for this!!

[@yanhuawang2222]

I am learning survival analysis in school. I cannot wait for the other videos of survival analysis to come out.

[@dr.navidsoltani4326]

5 months! Bring back Justin! :)

[@sahilkathuria9850]

Thanks for putting up such a great series.

[@aravindganesan2908]

Hi, great content, one that I thoroughly loved. Look forward to other part of the series :-)

[@Ruostesieni]

Loved this series and I'm sad to see that it has been, presumably, discontinued. What a great and intuitive way to describe something that is normally super confusing. Also: I'll never be able to associate Life tables and survival curves to anything but wombats from now on.

[@zedstatistics]

Not discontinued... just taking a break! Vids 5-8 in production.

[@drtonimatrisa]

@@zedstatistics Can't wait to watch the rest of the videos! would really appreciate having one video on cox proportional hazard model. thanks. keep up the good work.

[@mattlawrencemiller]

first time coming across your channel, watched the video from start to finish. fantastic explanations, followed everything easily except for the deeper statistics. was able to generate a nice survival curve, got a p=0.07! d'oh!

[@miteshpatel2190]

Hi Justin, big fan of the channel! Love your comprehensive yet initiative explanation. It would be great if you could create parallel short videos ( 1 to 3 mins) to summarize the concepts, which would be helpful to brush up on every now and then.

[@jonashofstetter7774]

Thank you for this wonderful video!

[@TheSussiest]

This video is Oscar worthy

[@cyberdudecyber]

Thanks for the great videos! I hope you're doing well. It's a long time you haven't posted.

[@alagappank1242]

King returns......

[@shwetabhat9981]

Great content sir .Hope you are doing well , kindly do post more videos as they greatly help 🙂

[@elliotnguyen1027]

hi, thanks for your contribution to human knowledge, cant wait to watch next video

[@musabcheema6805]

Hi! Where can I find the rest of the series? This is absolutely amazing! Thanks!!

[@mukulsoni8739]

I have no words for you Sir !! I am eagerly waiting for your every video Please make regular content It's a humble request 🥺

[@shellycheng2000]

You are literally amazing, where were you when I had epidemiology and statistics in uni

[@lunalin8457]

Wonderful video! Just notice there is a miscalculation in the log rank test table: Expected Deaths at Time 15

[@wanashraf4132]

i`ve been waiting for so longggggggg..... TQ MASTERRRRRRRRRRRR

[@sarazr]

Where is cox regression? Pleaseee.

[@warrenmalambo578]

Awesome video. Simply and amazingly explained

[@babyrao8184]

You are a superb teacher. Thanks a lot. Very beneficial content

[@SalehGoodarzian]

Thank you for your great video. I followed carefully and I learned a lot. But, when I was following your numbers, I have noticed the following issues (please correct me if I'm wrong) During the period 8

[@german4865]

Hello, it would be great if you could also do videos regarding competing risk approach in survival analysis. Thank you so much for sharing your knowledge!

[@pulpskate]

Awesome! Thank you

[@Muuip]

Excellent presentation! Much appreciated!👍

[@sanilkr14]

Hi, This is fabulous contribution for statistics students and learners. However, can't get hold of series from 5 - 8. Would you publish that please?.It`s also not available on your website. Thank you.

[@nl7247]

Worth the wait, brilliant, thank you.

[@boamahmarcus4002]

the Goat strikes again

[@badiaabatlamous6779]

Thanks you so much , your videos super helpful.

[@moreennderitu4983]

A great job done ✨✨🎉✨ still waiting for the hazard models

[@mansigupta7862]

Your content is really awesome for clearing basics sir please make video on hazard function waiting to learn more...

[@IsabellaZhang-bt7di]

First, I want to express my gratitude for the great videos you made for learners. I have a question here. Is the last step---analysis done by sex---a illustration of logrank test (23:43)? Thanks.

[@isaacakubo9305]

Thanks for devoting so much time for in-depth explanations . however , I may be interested in all the eight videos on survival analysis and downloads of the pdf files to enable me make reference in my masters thesis

[@hEmZoRz]

Do the log and log-log methods for confidence intervals differ in underlying assumptions, and therefore produce different intervals? If not, how is it possible from a theoretical perspective that we have two different intervals? After all, only either one of these intervals can then actually contain the true value of the parameter exactly 95% of the times, right? Ps. You are very talented at teaching! Absolutely great stuff.

[@niveenelzayat2609]

Nice and valuable work, can I ask you which software did you use to make this fascinating presentation?

[@similimagomba5730]

Brilliant lecture💯, thank you.

[@hajraadil1091]

Excellent 👍

[@safwayhweta9653]

thank you so much

[@yulinliu850]

Nice lecture. Thanks!

[@FranciscoLozano-ov3zs]

nice video! how do you do the log-rank test when you have several groups? in my particular case i have 13 groups. what can i do to reduce the family wise error rate?

[@jinfan4128]

Really great! Thanks!!!

[@charleyellroy]

Ty, brilliant

[@The_Stats_Student]

Thanks sir 🙏🏻

[@eberkyurek]

This is gold!

[@majidzaremehrjardy4034]

Great video! Thanks so much! One question I didn't understand: looking at 19:22, isn't Standard Error (SE) by definition the sqrt of Variance divided by sqrt of sample size? I don't see the sqrt of sample size in the last formula of the page.

[@amirmanzour3351]

amazing !!

[@jordanthibodeaux8922]

Thanks!

[@dig4skullz]

Where are the remaining videos? 😕

[@drtonimatrisa]

Where can i get the rest of the videos on survival analysis? such as cox proportional hazard model ?

[@sousoudaoui5298]

Awesome, huge fan the Kind of explanation I am looking for .can you please please give one other test .I Know they are all logrank with different weights but I didn't know how to apply it I have a deadline in 2 days and thank you in advance .

[@RaudiRaul]

Hello, does the log rank test also decipher differences between more than 2 groups? I currently have 7 treatment groups and have a significant difference between groups. Does this mean one group if higher then the other is less "lethal" to compared to all other groups or its just different than the others? Thank you.

[@collinskipyegon7956]

What about using Delta method in obtaining variance of S(t)?

[@Leila0S]

do you have another channel where you explain multivariate statistics topics?

[@haniaas6589]

can you pls do vedio on panel data , and test use in forcasting of weather like temperature, rainfull , ENSO etc

[@ibrahimm789]

Hi, Where I can find the rest of videos 6/8,7/8 & 8/8 (Survival & Hazard functions, Cox proportional hazard (basics), Cox proportional hazard (advanced), & Examples R,SAS, STATA, SPSS.

[@zedstatistics]

Unfortunately a time machine is your only way to see them, currently.

[@stephenclark9917]

@@zedstatistics Where can I find the video that tells me how to build one of these time machines?

[@pallavimehta4778]

When are you going to upload next videos in this series ?

[@Ian-io3yt]

Hi, I have an interest in better understanding statistics. Is there any beginner or intermediate (don't know how else to label them) course that someone could take for a deeper dive that you recommend? I want to better be able to understand scientific studies and the statistical methods used, but already have a basic understanding of statistics and want to get a bit deeper. Thanks

[@karunamayiholisticinc]

Where is 6,7, and 8th video in this series?

[@chinujoseph4469]

Can you make videos on entropy..... You're my statistics guide 🙂

[@MichaelSalaA]

When do we get the next video?!

[@novidjamiraga6157]

still waiting for the next video :(

[@promiseokoroafor4421]

Please how do i get the number at risk

[@piotrkowalewski6425]

Is there any possibility to backtest KM estimates?

[@haidynagi7314]

Would u help me .. Im from egypt and im completing my master degree ... In saddlepoint and survival analysis ... So i need. Ore informations about saddle point aproxtimation

[@amitsah1394]

can you please suggest me best books on statistics and probability or resources

[@sarfrazalijanjua5311]

Looking for your video on Hazard function

[@evechan4161]

sir, what if we have more features not only "sex". For eg, if we have features "sex", "is_smoker", "is_drunkard"，"drinking_times_last3mths". Through survival analysis, can we achieve to predict how many months this person is going to die? and how those features contribute to that death

[@martynasvenckus423]

At 25:00, shouldn't it be 0.333 rather than 1.333 in the last column?

[@Pseudify]

I don’t think so. You’re multiplying by 2 observed deaths, not dividing. (4/6)*2.

[@reflections86]

Great tutorial. I have a query and I will appreciate if you could help me.I have a set of 25 genes (or 25 variables) and I wanted to make a single survival analysis plot. The expression dataset is divided into genes having high and low expression with the following columns and 407 rows: patient_ID_ survival_time survival_event sex Gene1 Gene 2 Gene3 Gene 4 Gene5 For a single gene I can make a survival analysis code and make a single KM plot for individual gene.For multiple genes I need to us multivariate cox regression medel The issue is that I am not able to make a single survival plot of high and low expression genes stratified with male and female. Here is the code I used for a set of 5 genes. These 5 genes are column names in the dataset along with survival time and event. I used the survival package in R for the cox model. res.cox

[@mathewtoll6780]

Nice

[@haithamabdelrahman6276]

Hi , You look like forget part 5 ,6 , 7 ,8 I will waiting ....

[@dr.satyabratasahoo5644]

Grand

[@TheChrisSoria]

the people want to see the rest

[@23andrelopes]

Hi, I find your videos super clear. Please could you do me a great favour and do a video explaining the Buckley-james.estimator for survival analysis? Many thanks

[@saraayazbutt]

Hello Zed. Have videos 5-8 in the survival analysis been published? I can't find them on your channel.

[@PriyankJain79]

Thanks!