I'm attempting to fit boosted regression trees to a censored response using
IPCW weighting. I've implemented this through two libraries, mboost and
gbm, which I believe should yield models that would perform comparably.
This, however, is not the case - mboost performs much better. This seems
odd
I have fit an accelerated failure time model using coxph, and have what seems
to be a simple question that I can't figure out.
Given a vector of predictor values X, the survival time S[t|X] is the
probability the entity will survive longer than some time t. Now, how do I
calculate this for a sp
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