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 > > > --------------------------------- > > always stay connected to friends. > [[alternative HTML version deleted]] > > ______________________________________________ > [email protected] mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
