Integrates the Kaplan-Meier estimator from 0 to tau using trapezoidal
integration on the step-function. SE follows the Klein-Moeschberger
formula (approximation matches the Python module).
Usage
morie_survival_rmst(time, event, tau = NULL, confidence = 0.95)
Arguments
- time
Numeric vector of event/censoring times.
- event
Integer/logical vector; 1 = event, 0 = censored.
- tau
RMST truncation horizon (morie_survival_rmst/rmst_diff).
- confidence
Confidence level for interval estimates (default
0.95).
Value
A named list with elements rmst, se, ci_lower, ci_upper, tau.
Examples
set.seed(1)
time <- rexp(60); event <- rbinom(60, 1, 0.7)
str(morie_survival_rmst(time, event, tau = 2), max.level = 1)
#> List of 5
#> $ rmst : num 0.996
#> $ se : num 0.086
#> $ ci_lower: num 0.827
#> $ ci_upper: num 1.16
#> $ tau : num 2
