Description Usage Arguments Details Value Author(s) See Also Examples
Computes, and then plots, an exact nonparametric confidence band for the population survivor function based on its one-sample Kaplan-Meier estimate and the modified B-J statistic. The confidence level, which can be specified by the user, must be a proportion between 0 and 1.
1 |
sobj |
a one-sample Kaplan-Meier estimate, provided in the form of a |
conf.level |
confidence level, a proportion between 0 and 1. The default value is 0.95 |
... |
Additional arguments, such as axis labels, scaling, etc., to pass
to the generic |
An exact nonparametric confidence band with the specified level of confidence is plotted as
lower and upper estimates of the
survivor function. These estimates are calculated by the function confband
. Option
lty=2 in the display distinguishes the nonparametric confidence band from the Kaplan-Meier estimate which, by default,
is plotted as a solid line (lty=1
)
The function returns two outputs, a scalar, which is printed, and a plot. The scalar value is the required quantile from the exact null distribution of the sample-specific modified B-J statistic derived from the single-sample nonparametric Kaplan-Meier estimate.
David E. Matthews dematthews@uwaterloo.ca
1 2 3 4 5 6 7 8 9 10 | ## plot an exact, nonparametric, 95% confidence band for leukemia patient
## remission experience based on data from 20 patients receiving
## Treatment B
time<-c(1,1,2,2,3,4,5,8,8,9,11,12,14,16,18,21,27,31,38,44)
status<-c(rep(1,16),0,1,0,1)
fit<-survfit(Surv(time,status)~1)
plotbands(fit,xlab="Time (in months)",ylab="Probability")
## Repeat the same calculations, but require only 80% confidence
plotbands(fit,0.80,xlab="Time (in months)",ylab="Probability")
|
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