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Allow specification of censoring model when calculating IPCW weighted Brier/Graf Score #164
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Do we really want to do this? I know this is possible in {pec} but it has no good theoretical justification. How do you validate the censoring model? What about data bias which just gets propagated forward by the second learner. I'm not convinced this is something we should implement |
Yes, vlaidation of the censoring model is a problem. But we should allow it should be able to Is it hard to do technically? |
Nope
It's an interesting argument. Okay, let's do it. I'll bump this up my list |
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In theory, it would also be possible to specify the learner which is used to learn the censoring model, tune the parameters, etc.... For now I'd restrict to simple parametric learner, e.g.
coxph
, but raises questions. E.g. what to do in n <p cases.The text was updated successfully, but these errors were encountered: