kmci.object: Kaplan-Meier (Survival Curve) Confidence Interval Object

In bpcp: Beta Product Confidence Procedure for Right Censored Data

Kaplan-Meier (Survival Curve) Confidence Interval Object

Description

The kmci class is returned by the functions kmciTG or kmciSW. The class represents a fitted survival curve with pointwise confidence intervals.

Unlike the kmciLR class, which allows for confidence intervals to change at any time point, the kmci class only has the confidence intervals change at observed failures.

Objects of this class has methods for the functions summary, plot, lines.

Arguments

time	the time points of observed failures (assumed surv and lower and upper steps that these times)
cens	time points where there is censoring but no observed failure
surv	the estimate of survival at time t+0. This is a vector.
upper	upper confidence limit for the survival curve.
lower	lower confidence limit for the survival curve.
conf.level	the level of the confidence limits, e.g., 0.95.

Structure

The following components must be included in a legitimate kmci object.

See Also

kmciLR.object plot.kmci, summary.kmci, StCI.kmci, median.kmci, quantile.kmci.

bpcp documentation built on March 18, 2022, 6:25 p.m.