[R] 95% CI of Kaplan-Meier survival in package survival
Wu Gong
wg2f at mtmail.mtsu.edu
Fri Sep 24 18:07:30 CEST 2010
Hi:
My result using Kaplan-Meier estimate in survival package was inconsistent
with that from Minitab. The survival probabilities are same, but their 95%
CI are different from other calculation. Could you help me find what is
wrong with the code? Thanks in advance.
library(survival)
raw.a <- c(80,24,22,12,86,-74,48,41,39,38,
27,24,22,19,18,16,11,10,6.3,76,
-21,17,12,11,10,9.8,9.5,8.2,6.4,
4.7,4.3,4.3,4.2,4.1,1.6,31)
data.a <- data.frame(time = abs(raw.a), event = raw.a >= 0)
fit.a <- survfit(Surv(time, event) ~ 1, data=data.a)
summary(fit.a)
Call: survfit(formula = Surv(time, event) ~ 1, data = data.a)
time n.risk n.event survival std.err lower 95% CI upper 95% CI
1.6 36 1 0.9722 0.0274 0.92000 1.000
4.1 35 1 0.9444 0.0382 0.87251 1.000
4.2 34 1 0.9167 0.0461 0.83069 1.000
4.3 33 2 0.8611 0.0576 0.75524 0.982
4.7 31 1 0.8333 0.0621 0.72007 0.964
6.3 30 1 0.8056 0.0660 0.68611 0.946
6.4 29 1 0.7778 0.0693 0.65317 0.926
8.2 28 1 0.7500 0.0722 0.62109 0.906
9.5 27 1 0.7222 0.0747 0.58978 0.884
9.8 26 1 0.6944 0.0768 0.55916 0.862
10.0 25 2 0.6389 0.0801 0.49977 0.817
11.0 23 2 0.5833 0.0822 0.44261 0.769
12.0 21 2 0.5278 0.0832 0.38749 0.719
16.0 19 1 0.5000 0.0833 0.36066 0.693
17.0 18 1 0.4722 0.0832 0.33432 0.667
18.0 17 1 0.4444 0.0828 0.30846 0.640
19.0 16 1 0.4167 0.0822 0.28309 0.613
22.0 14 2 0.3571 0.0805 0.22962 0.555
24.0 12 2 0.2976 0.0773 0.17889 0.495
27.0 10 1 0.2679 0.0751 0.15463 0.464
31.0 9 1 0.2381 0.0724 0.13120 0.432
38.0 8 1 0.2083 0.0692 0.10865 0.399
39.0 7 1 0.1786 0.0654 0.08711 0.366
41.0 6 1 0.1488 0.0609 0.06673 0.332
48.0 5 1 0.1190 0.0555 0.04773 0.297
76.0 3 1 0.0794 0.0492 0.02355 0.267
80.0 2 1 0.0397 0.0373 0.00628 0.251
86.0 1 1 0.0000 NaN NA NA
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