> 2. The answer will be wrong. The reason is that the censoring occurs on a > time scale, not a $ scale: you don't stop observing someone because > total cost hits a threshold, but because calendar time does. The KM routines > assume that the censoring process and the event process are on the > same scale. > The result can be an overestimation of cost. See Dan-Yu Lin, Biometrics > 1997, "Estimating medical costs from incomplete follow-up data".
Having now skimmed the paper this is long term follow-up. In my particular case the patients are getting treatment for relatively short periods (median time to stopping treatment will be ~ 9months) and will discontinue treatment relatively quickly (I'd be surprised if anyone is still on treatment 3-4 years out). I only want the costs of that treatment not the costs for their overall care to death. I'm not sure how that affects things but hoping it makes life simpler. Calum ******************************************************************************************************************** This message may contain confidential information. If yo...{{dropped:21}} ______________________________________________ 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.