Hi all, let's say we can fit a Cox model with a numeric variable "x" as the independent variable. The we can calculate, say 10-year survival, for any given value of "x" (0 to 10 in increment of 0.1 in the example below):> fit <- coxph(Surv(time, event)~x,dat) > surv10yr<-summary(survfit(fit,newdata=data.frame(x=seq(0,10,0.1))),times=10) I am wondering if anyone can show me how to replicate this in SAS? very much appreciated! John [[alternative HTML version deleted]]
Hi all, let's say we can fit a Cox model with a numeric variable "x" as the independent variable. The we can calculate, say 10-year survival, for any given value of "x" (0 to 10 in increment of 0.1 in the example below):> fit <- coxph(Surv(time, event)~x,dat) > surv10yr<-summary(survfit(fit,newdata=data.frame(x=seq(0,10,0.1))),times=10) I am wondering if anyone can show me how to replicate this in SAS? very much appreciated! John [[alternative HTML version deleted]]