I think what you want may be produced by this code for InvNormal(S) vs
log(time):
survplot(fit, fun=qnorm, logT=T, conf = "none")
That is not what you describe, however.
I am worried about the plot on the page you cite, because it is not
similar to other log(-log(S)) (complementary log-log) plots I am
familiar with. I checked the errata listing and do not see a
correction, but I am still concerned it might not be not a log(-
log(S)) vs time plot.
Terry Therneau has always been very helpful to readers of this group
and I suspect he can clarify any confusion I may be laboring under.
--
David Winsemius
Heritage Laboratories
On Feb 28, 2009, at 5:48 PM, Bob Green wrote:
I am hoping for some advice regarding how to obtain a log-log
survival plot that is not in the inverse. On page 128 of Modelling
survival data by Therneau & Grambsch there is the an example of the
type of desired plot, with a log of the survival curve by years.
Marc Schwartz has provided me with some reproducible code.
The code below produces inverted plots.
library(surv2sample)
data(gastric)
fit <- survfit ( Surv(time, event) ~ treatment, data = gastric)
#Default plot:
plot(fit)
plot(fit, fun = "cloglog")
library(Design)
survplot(fit, loglog = TRUE, conf = "none")
Any assistance is much appreciated,
regards
Bob
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