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? -- View this message in context: http://r.789695.n4.nabble.com/Weighted-Kaplan-Meier-estimates-with-R-with-confidence-intervals-tp4662360p4662384.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
