Closed cls3415 closed 3 years ago
Hi- I tried to model a multi-state model as following:
library(survival) library(survminer) library(dplyr) data(mgus2) sname <- c("MGUS", "Malignancy", "Death") smat <- matrix(c(0,0,0, 1,0,0, 1,1,0), 3, 3, dimnames = list(sname, sname)) statefig(c(1,2), smat)
Using Cox model was okay, but rfsrc was not.
ptemp <- with(mgus2, ifelse(ptime==futime & pstat==1, ptime-.1, ptime)) data3 <- tmerge(mgus2, mgus2, id=id, death=event(futime, death), pcm = event(ptemp, pstat)) data3 <- tmerge(data3, data3, id, enum=cumtdc(tstart)) with(data3, table(death, pcm)) temp <- with(data3, ifelse(death==1, 2, pcm)) data3$event <- factor(temp, 0:2, labels=c("censor", "pcm", "death")) mfit3 <- coxph(Surv(tstart, tstop, event) ~ I(age/10) + sex + mspike, id = id, data = data3) ## not working rf.surv <- rfsrc(Surv(tstart, tstop, event) ~ sex , data = data3, ntree = 100, block.size = 1)
The error message is:
Error in parseFormula(formula, data, ytry) : Survival formula incorrectly specified.
Any thought?
Thanks!
The package does not yet handle surv(start, stop, event) formula. Multi-state models are not supported.
Hi- I tried to model a multi-state model as following:
Using Cox model was okay, but rfsrc was not.
The error message is:
Any thought?
Thanks!