An introduction to joint modelling of longitudinal and survival data 

I'm just starting my PhD and was looking for an easy to follow explanation of joint modeling. This helped me a lot, thanks for sharing it!

Very well explained. I am a Biostatistician at Johns Hopkins University. You class helps me to do a join modelling of longitudinal and survival data

So clear, so helpful. Thank you.

Please, recommend a Textbook on Joint modeling of longitudinal and survival data. I am a newbie in survival analysis, and this interests me

Thank you very much for your outstanding explanation. However, I have a question: How do you construct a joint model when the survival outcome variable has multiple competing outcomes?

Am interested with your tutorials, let me ask you one more questions. how we jointly model multiple longitudinal outcomes(SBP/DBP) with a time to event(survival ) in R software and which package is necessary for doing it, lastly how we check the model diagnostics

Great and helpful video!! May I ask if it is "allowed" to use a event outcome derived from reaching a critical longitudinal biomarker value like the estimated Glomerular Filtration rate 15, 1: eGFR