I'm currently using the "censored" package to generate survival predictions on a test data set (whilst building the models with the training set). With each of the algorithms supported by censored, I am able to create the probability of survival for each person as well as their survival time.
However, I am running into a few issues:
To create an overall curve for the test data, should I just be taking the average probability for each person at each time interval? Censored does not seem to produce the overall curve
The time predictions do not come with an indicator of whether a patient's record will be censored or not. It just gives the time. Is there a way around this?
In terms of validation, what is the most suitable metric? I understand that metrics such as MAE will not suit survival curves.