Weighted Kaplan-Meier estimates with R (with confidenceintervals)?
Le lundi 25 mars 2013 ? 05:55 -0700, rm a ?crit :
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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