dindex.comp {survcomp} | R Documentation |
This function compares two D indices from their betas and standard errors as computed by a Cox model for instance. The statistical test is a Student t test for dependent samples. The two D indices must be computed using the D.index
function from the same survival data.
dindex.comp(dindex1, dindex2)
dindex1 |
first D index |
dindex2 |
second D index |
The two D indices must be computed using the D.index
function from the same samples (and corresponding survival data). The function uses a Student t test for dependent samples.
p.value |
p-value from the Wilcoxon rank sum test for the comparison dindex1 > dindex2 |
dindex1 |
value of the first D index |
dindex2 |
value of the second D index |
Benjamin Haibe-Kains
Haibe-Kains, B. and Desmedt, C. and Sotiriou, C. and Bontempi, G. (2008) "A comparative study of survival models for breast cancer prognostication based on microarray data: does a single gene beat them all?", Bioinformatics, 24, 19, pages 2200–2208.
set.seed(12345) age <- rnorm(100, 50, 10) size <- rexp(100,1) stime <- rexp(100) cens <- runif(100,.5,2) sevent <- as.numeric(stime <= cens) stime <- pmin(stime, cens) d1 <- D.index(x=age, surv.time=stime, surv.event=sevent) d2 <- D.index(x=size, surv.time=stime, surv.event=sevent) dindex.comp(d1, d2)