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...y we found that X1 and X5 should be included in our cox regression model for censoring, then we would enter: formula=Surv(time,status)~X1+X5 and cens.model=cox in function pec. Am I thinking about this correctly? I think it could be more difficult than this, so I'd appreciate some guidance. Replan is the method for estimating prediction error curves. I understand that replan=none would be used when we don't cross validate i.e. we would create a model using a specific bootstrap sample and then evaluate its performance on the same sample. If we are looking at "bootstrap crossvalidat...

...oad pec and fit Cox model: > library(pec) > models = list("Cox"= coxph(Surv(start,time,status) ~ x1, data=dat.x)) # Compute the apparent prediction error: predError = pec(object = models, formula=Surv(start,time,status) ~ x1, data=dat.x, exact=TRUE, cens.model="marginal", replan="none", B=0, verbose=TRUE) Error in pec.list(object = models, formula = Surv(start, time, status) ~ : Survival response must at least consist of two columns: time and status. > Am I doing something wrong here or is it not possible to apply the pec function on counting process data?...

Hello Zed ! Do you knows or plan a way to spawn mongrel processes on demand ? I''m studying options to build an affordable but solid shared hosting solution. You wrote something very promising in your "NEXT STEPS", A combination of the ''"mostly C version'' and the mongrel_cluster replacement would be an elegant method to save much RAM on servers (until