Aliases: transplant
Keywords: datasets
### ** Examples #since event is a factor, survfit creates competing risk curves pfit <- survfit(Surv(futime, event) ~ abo, transplant) pfit[,2] #time to liver transplant, by blood type
Call: survfit(formula = Surv(futime, event) ~ abo, data = transplant) n nevent rmean* abo=A, death 325 21 164.9734 abo=B, death 103 10 202.4902 abo=AB, death 41 3 137.8293 abo=O, death 346 32 182.1075 *restricted mean time in state (max time = 2055 )
plot(pfit[,2], mark.time=FALSE, col=1:4, lwd=2, xmax=735, xscale=30.5, xlab="Months", ylab="Fraction transplanted", xaxt = 'n') temp <- c(0, 6, 12, 18, 24) axis(1, temp*30.5, temp) legend(450, .35, levels(transplant$abo), lty=1, col=1:4, lwd=2)
# competing risks for type O plot(pfit[4,], xscale=30.5, xmax=735, col=1:3, lwd=2) legend(450, .4, c("Death", "Transpant", "Withdrawal"), col=1:3, lwd=2)