Survival Analysis [Simply Explained]

[@datatab]

If you like, please find our e-Book here: datatab.net/statistics-book 😎

[@anyameln8711]

Love the pace! Great examples and explanation, thank you a lot!

[@mahfuzulhaquenayeem675]

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]

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]

Wow! Perfect video on this topic. I didn't expect such material exist.

[@datatab]

Glad you liked it!

[@moghira1]

May God bless you!!. Your videos and explaining are more than amazing. Actually they are beyound description.

[@farelrusde9637]

I have exam about this tomorrow, you really save my day Thank you :)

[@datatab]

Happy to help!

[@wema_merr]

Amazing video! Easy to understand. Thanks very much!!!

[@datatab]

Glad it was helpful!

[@nicksparco]

Very clear!! Thanks 🎉

[@PScharity]

Fantastic. 👏👏👏

[@SandeshLamsal-k4f]

I have a question: What would be the best analysis if we have opposite relation? For example: If i my survival probability increase with the time. The slope of curve would move upward. In this case, can i use survival analysis or what would be the alternative for me?

[@ภูมิพรกตัญญูวงศ์]

Awesome explaination, thanks!

[@shawnmok3476]

Great Video! Thanks 👏👏👏

[@datatab]

Glad you liked it!

[@pooriasalehi5402]

Really really thank you!

[@dinaayad4891]

Just wooow thank you

[@datatab]

You're welcome 😊

[@rodrigochavez7]

this method can be applied to retail to predict when a client will purchase again a determined product?

[@PropofolAhoy]

Great video!

[@VinSal-i2g]

Great video 👏

[@datatab]

Thanks : )

[@mariak1075]

So, a quick question is a survival analysis possible without censored data?

[@nakittodianahfranklyn8141]

this is really great

[@saadbalamane5549]

perfect video!!!

[@annamarianalumansi3178]

great video...thank you

[@datatab]

Glad you liked it!

[@erickrequejo2111]

Great vídeo, i would really apreciate if you make one computating in R. Tanks

[@datatab]

Thanks for the idea! But datatab finances me that I can create free videos : )

[@joelbassa4876]

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]

Coz every prediction is "likely" to be wrong. So, there is always some uncertainty. N where there is uncertainty, there is probability.

[@haraldurkarlsson1147]

Strictly speaking one does not "retain" the null hypothesis. One "fails to reject it".

[@muhammadrazieqrb3894]

How to compare

[@imperiusss]

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]

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.

[@shimaasayed4046]

can i get pdf files please

[@datatab]

Hi, you can find the content here: datatab.net/tutorial/survival-analysis Regards Hannah

[@anuraggupta2066]

Jabardasti dekhni padti h😢

[@pooriasalehi5402]

Really really thank you!