Well, I guess it makes quite a difference in survival analysis whether
you know that a person was alive/censored or experienced the event of
interest at a certain point of time/age. You could have tried it easily
for yourself by slightly modifying the example on the help page of
'survdiff'.
library(survival)
survdiff(Surv(futime, fustat) ~ rx,data=ovarian)
survdiff(Surv(futime, 1-fustat) ~ rx,data=ovarian)
If you want to work more in survival analysis, I can recommend the book
John P. Klein / Melvin L. Moeschberger (2003): Survival Analysis.
Techniques for Censored and Truncated Data. Springer. (but it gives no
recipes in R).
Hope this helps,
Roland
raymond chiruka wrote:> in R when carring out the log rank test is the censored variable denoted by
1 or 0 or its of no consequence.
>
> thanks
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