Adjusted survival curves. (Sample code here:
https://rpubs.com/daspringate/survival )
Deep gratitude?to Moderator/Admin!
At?David Winsemius prompt, more elegant working code:Thanks, Ted :)
library(survival)
library(survminer)
df<-read.csv("F:/R/data/edgr-orig.csv", header = TRUE, sep =
";")
df2 <- df
df2[,c('treatment', 'age', 'sex', 'stage')]
<- lapply(df2[,c('treatment', 'age', 'sex',
'stage')], factor)
model <- coxph (Surv(time = start,
???????????????????????????????????time2 = stop,
???????????????????????????????????event = censor)~ treatment + age + sex +
stage, data = df2)
treat <- with(df2,
??????????????data.frame(
??????????????treatment = levels(treatment),
??????????????age = rep(levels(age)[1], 2),
??????????????sex = rep(levels(sex)[1], 2),
??????????????stage = rep(levels(stage)[1], 2)))
plot(survfit(model, newdata = treat),
?????las=1,
?????xscale = 1.00,
?????conf.int = TRUE,
?????xlab = "Months after diagnosis",
?????ylab = "Proportion survived",
?????col = c("red", "green"))
[[alternative HTML version deleted]]
