[R] Weighted Kaplan-Meier estimates with R (with confidenceintervals)?

[Milan Bouchet-Valat]

Le lundi 25 mars 2013 à 05:55 -0700, rm a écrit :
> Say, that I have two observations, one from time 0 to time 50, and a second
> from time 0 to time 100, both of which are known to have failed, i.e. no
> censoring. I would like to give double the weight to the second observation.
> 
> This is what I’ve tried to implement in the both pieces of code. Both pieces
> of code give the same survival curve but different confidence intervals.
> Why? How should I fix the code to get the “correct” confidence intervals? 
If the weights you cant to use are sampling weights (as I suspect), use
the function survfitkm() from the survey package.


Regards

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