search for: progression_months_landmark_14

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2012 Apr 13
3
Kaplan Meier analysis: 95% CI wider in R than in SAS
...d my estimate for the median is substantially larger in R than in SAS. For example, in SAS I have a median of 3.29 with a 95% CI of [1.15, 5.29]. In R, I get a median of 3.29 with a 95% CI of [1.35,?13.35]. ? Can anyone tell me why I get this difference? ? My R code looks like: ? survfrm <- Surv(progression_months_landmark_14,progression==1) ~ pr_rg_landmark_14 survobj <- survfit(survfrm, data=Survival) survlrk <- survdiff(survfrm, data=Survival) summary(survobj) print(survobj) print(survlrk) ? My SAS code looks like: ? proc lifetest data=survival; strata pr_rg_landmark_14; time progression_months_landmark_14 * p...