# NOT RUN {
# Create the competing risk curves for time to first of death or PCM
sfit <- survfit(Surv(start, stop, event) ~ sex, mgus1, id=id,
subset=(enum==1))
print(sfit) # the order of printout is the order in which they plot
plot(sfit, xscale=365.25, lty=c(2,1,2,1), col=c(1,1,2,2),
xlab="Years after MGUS detection", ylab="Proportion")
legend(0, .8, c("Death/male", "Death/female", "PCM/male", "PCM/female"),
lty=c(1,1,2,2), col=c(2,1,2,1), bty='n')
title("Curves for the first of plasma cell malignancy or death")
# The plot shows that males have a higher death rate than females (no
# surprise) but their rates of conversion to PCM are essentially the same.
# }
Run the code above in your browser using DataLab