@@zedstatistics I’m excited for the rest. I’ll probably rewatch the whole thing several times. Thank you for your kindness and generosity in sharing your knowledge 👍
@zedstatistics How to include mean and median survival time with the output of a multivariate Cox proportional hazard analysis in SPSS (or SAS)? My model has 7 covariates. A hazard ratio for one covariate is therefore adjusted for other covariates in the model. The mean and median values given with Kaplan Meier (KM) curves are for unadjusted survival curves because KM allows only a one-covariate analysis (univariate). Thank you in advance.
I need to do a life table that adjusts for unemployment rate (those claiming unemployment benefits) and proportion of those in the labour force, can I use the same approach, but replace unemployment rate and proportion of those in the labour force with proportion of those with disability? thanks!
I'm not getting the concept behind calculating conditional probability of death at allllll..😰😰 can anyone help please 🙏🏽? if we say at 6 months x number of people of alive and y number of people were dead, why don't we simply take x/2 + y/2? how come we are halfing the dead and not the alive population? In short, what the point of doing this calculation even and not just sticking to simply death rate?
Dude! don't stop posting these videos. We are a lost cause without you.
These videos are absolute gold!! Hope you get the chance to make the rest - my classmates and I certainly appreciate your work very much 🖖
really love this series, already shared with friends, and expect new videos. Thanks!!!
thank you very much. anxiously waiting for rest of the lectures
Love this series, It's pretty interesting. Please upload the next video soon
This video explains these concepts so perfectly! Thank you so much. You're the best 👍🏾
Super helpful videos .. looking forward to the rest of the series 😃
really good video zedstatistics. I crushed that thumbs up on your video. Keep up the solid work.
Amazing how you make these topics so easy to understand.
thank you sir, this was very helpful. looking forward to the rest soon i hope.
The statistics G.O.A.T. returns!
Simple yet concise, easy to follow. Thanks heaps!!!
Very much enjoyed these series. The explanations are very clear and easy to understand. Look forward to seeing more!
Next one coming in a few days....
@@zedstatistics Can I know how to download this dataset please??
Please upload the next version please! Thank you so much zedstatistics!
This series is absolutely amazing! I've literally tabled my plans for the evening to get through it
Series to be finished in the next few weeks, promise!
@@zedstatistics I’m excited for the rest. I’ll probably rewatch the whole thing several times. Thank you for your kindness and generosity in sharing your knowledge 👍
Congratulations for 100k🥳🥳❤💯 i was waiting for this for so long now❤
Congrats him for 200K
Great concise presentations!
Much appreciated! 👍
These videos are amazing! Thank you!
Welcome back bro.
Amazing way of explaining! I really wish I could see the other videos in the series
Great series, very useful!
Very interesting and clear explanation. Thank you
Wonderful illustrations with examples sir!!!!
Awesome videos! Very good refresher for me!
awesome channel! thank you for making these vids
8:37 Thank you for the practical tips also!
Awesome explanation of a difficult topic! Thank you.
Thanks. Waiting for remaining video....
very well explained, thank you, Justin. I was wondering if you can share this excel sheet with us. Thanks
I love ❤️ you Justin… My savior in statistics. 😊
Subscribed! Great series so far. Would be nice if you provide links to download demo files :)
great series, please sir upload the next video thanks
MERCI!!!!!!!! Amazing video, it helped me a lot!!!
Absolute gold. Please provide these excel sheets to us
Great work, thanks a lot!
Really nice lectures.
This is so useful!
Gracias!, thank you so much much better than classes
Thanks a lot for the video. It is very useful. Would be greater if you could share the excel template for the calculation.
thanks a lot! like this statstics
@zedstatistics
How to include mean and median survival time with the output of a multivariate Cox proportional hazard analysis in SPSS (or SAS)?
My model has 7 covariates. A hazard ratio for one covariate is therefore adjusted for other covariates in the model. The mean and median values given with Kaplan Meier (KM) curves are for unadjusted survival curves because KM allows only a one-covariate analysis (univariate).
Thank you in advance.
Sir, please upload videos based on Probit and Tobit models as well. Thank you for a very helpful video on Logit model
Thank you!
super helpful
Waiting for complete series to come up faster
I need to do a life table that adjusts for unemployment rate (those claiming unemployment benefits) and proportion of those in the labour force, can I use the same approach, but replace unemployment rate and proportion of those in the labour force with proportion of those with disability? thanks!
Thanks
Sir please do more videos in statistics...
thanks
I will be your subscriber atleast for next 49 Years 😅
Can I have a question? Does life expectancy is also equal to expected survival?
subscribed
Hi. Where can we see the rest of this series? I mean, parts 4 to 8.
This video came out yesterday, I would assume the rest are coming in due time
where is the 4th video ?
where to download the spreadsheet? Thanks
What is the keyword on google to get this data? Thanks
I'm not getting the concept behind calculating conditional probability of death at allllll..😰😰 can anyone help please 🙏🏽? if we say at 6 months x number of people of alive and y number of people were dead, why don't we simply take x/2 + y/2? how come we are halfing the dead and not the alive population? In short, what the point of doing this calculation even and not just sticking to simply death rate?
Where is the next video of survival analysis?
Still comin! Teaching full time via zoom is zappin' my energy to spend more time at my desk.
Hao jiu bu jian.
30.12.22
I don’t understand this table relevant to other data in general
It is a little suspicious to me that everything is uniform
Way too many adds