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Survival Analysis [Simply Explained] 

DATAtab
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5 сен 2024

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Комментарии : 38   
@datatab
@datatab Год назад
If you like, please find our e-Book here: datatab.net/statistics-book 😎
@mahfuzulhaquenayeem675
@mahfuzulhaquenayeem675 3 месяца назад
Being a graduate in the domain of Public Administration where the curriculum mostly focused on theoretical discussions, I have started an extended academic journey in the field of 'Data'. Your video is so helpful. Helped me to easily understand the basic concept. Definitely, I will follow through. Thanks a lot! Best wishes.
@haraldurkarlsson1147
@haraldurkarlsson1147 11 месяцев назад
In regards to the tooth fillings you would have to install the two types in the same mouth (person) for the study to be signficant. Otherwise mouth chemistry and other "confounders" might skew the results. You also have to have the same dentist do these fillings since there may be difference in the quality of the dentistry form one dentist to another.
@mmgheys
@mmgheys Год назад
Wow! Perfect video on this topic. I didn't expect such material exist.
@datatab
@datatab Год назад
Glad you liked it!
@anyameln8711
@anyameln8711 Год назад
Love the pace! Great examples and explanation, thank you a lot!
@wema_merr
@wema_merr 6 месяцев назад
Amazing video! Easy to understand. Thanks very much!!!
@datatab
@datatab 6 месяцев назад
Glad it was helpful!
@moghira1
@moghira1 11 месяцев назад
May God bless you!!. Your videos and explaining are more than amazing. Actually they are beyound description.
@farelrusde9637
@farelrusde9637 Год назад
I have exam about this tomorrow, you really save my day Thank you :)
@datatab
@datatab Год назад
Happy to help!
@nicksparco
@nicksparco Год назад
Very clear!! Thanks 🎉
@dinaayad4891
@dinaayad4891 Год назад
Just wooow thank you
@datatab
@datatab Год назад
You're welcome 😊
@SRNAsforpropofol
@SRNAsforpropofol 3 месяца назад
Great video!
@erickrequejo2111
@erickrequejo2111 2 года назад
Great vídeo, i would really apreciate if you make one computating in R. Tanks
@datatab
@datatab 2 года назад
Thanks for the idea! But datatab finances me that I can create free videos : )
@pooriasalehi5402
@pooriasalehi5402 Год назад
Really really thank you!
@user-jn7cd3bk9w
@user-jn7cd3bk9w Год назад
Awesome explaination, thanks!
@user-cg5do8oe4v
@user-cg5do8oe4v Год назад
Great video 👏
@datatab
@datatab Год назад
Thanks : )
@shawnmok3476
@shawnmok3476 2 года назад
Great Video! Thanks 👏👏👏
@datatab
@datatab 2 года назад
Glad you liked it!
@nakittodianahfranklyn8141
@nakittodianahfranklyn8141 Год назад
this is really great
@saadbalamane5549
@saadbalamane5549 6 месяцев назад
perfect video!!!
@haraldurkarlsson1147
@haraldurkarlsson1147 11 месяцев назад
Strictly speaking one does not "retain" the null hypothesis. One "fails to reject it".
@annamarianalumansi3178
@annamarianalumansi3178 2 года назад
great video...thank you
@datatab
@datatab 2 года назад
Glad you liked it!
@rodrigochavez7
@rodrigochavez7 2 месяца назад
this method can be applied to retail to predict when a client will purchase again a determined product?
@mariak1075
@mariak1075 7 месяцев назад
So, a quick question is a survival analysis possible without censored data?
@imperiusss
@imperiusss 2 года назад
if you want to know the mortality at 5 years, and persone A dies at 6 years and person B drops from the study at 3 years (so two years before your measuring point). And you make a table from this data: do you consider both data as censored? and what do you will in in the table? Should you fill in person A: No ( so it did not die at year 5) and for person B not fill anything ( so not Yes and not No)?
@karatsurba4791
@karatsurba4791 2 года назад
Mate, I found your question ambiguous. So, sorry, if this doesn't answer your Q. If question is to know how many will be alive in 5 years, then both the data points you mentioned would be part of analysis, since one passed away in 3 yrs (before the threshold) & the other after the threshold (6yrs). So, neither data point would be censored.
@joelbassa4876
@joelbassa4876 2 года назад
Hi @DATAtab , may i know why survival is focusing on predicting probability rather than a single value ? As per the definition survival outcome is to predict duration ( time to event ). Thanks
@karatsurba4791
@karatsurba4791 2 года назад
Coz every prediction is "likely" to be wrong. So, there is always some uncertainty. N where there is uncertainty, there is probability.
@shimaasayed4046
@shimaasayed4046 4 месяца назад
can i get pdf files please
@datatab
@datatab 4 месяца назад
Hi, you can find the content here: datatab.net/tutorial/survival-analysis Regards Hannah
@anuraggupta2066
@anuraggupta2066 Год назад
Jabardasti dekhni padti h😢
@pooriasalehi5402
@pooriasalehi5402 Год назад
Really really thank you!
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