I came across this:
which answers the subject (question). However, I am also wondering, is survival analysis not also the only (?) or one of the few modelling techniques that can cope with time dependent features such as age?
I am also wondering, if it could cope with missing values, where missing-ness is time dependent. Example: A process starts. We know certain feature values and can start predicting how long the process will take. As the process progresses more information (feature values) will be known. This means that the accuracy/uncertainty of the prediction could be improved/reduced. Are there modeling techniques that can cope with situations like this?
I just came across this:
which looks interesting in this context.