[R] creating log-log survival plots that are not inverted

[David Winsemius]

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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