I have 4 survival datasets from 4 different trials examining 2 different drug classes independently.
I would like to model the likely survival curve resulting from a pooled selection of either drug class, preferably with an ability to dictate weights for each drug class type in the final model (e.g., 50% of patients come from drug class 1, 50% of patients come from drug class 2)
What would be the best way to do this in R?
I've looked at censboot, but that seems more inline with bootsrapping a specific statistic from the data.
My end goal is to use this modeled arm to predict cut-offs for a treatment effect of an add-on therapy.
Truly appreciate any input / examples.