compute_cumrisk_ci.Rdcompute_cumrisk_ci is a function that computes confidence intervals for cumulative
risk estimates using the influence curve or supplied bootstrap replicates to
estimate standard errors.
compute_cumrisk_ci(
obj,
alpha = 0.05,
ic = FALSE,
risk_time = NULL,
boot_method = "log-normal"
)A cumrisk object containing the risk estimates, e.g., as computed by estimate_ipwrisk
The desired nominal significance level of the confidence intervals.
If the supplied object contains a bootstrap risk estimates, setting ic = TRUE will requests that estimated standard errors be derived from the influence curve.
The time at which the cumulative risk estimates should be returned (the default value NULL returns all times)
The specific bootstrap approach used to compute confidence
intervals. Options are "log-normal" (default; normal approximation on the
log scale), "normal" (normal approximation on the risk scale),
"percentile" (percentile-based approach using quantiles of the bootstrap
distribution), and "basic" (basic bootstrap using the reflection method).
When obj was created without using bootstrap estimation or ic = TRUE is
provided then the value of boot_method is ignored.
A matrix containing the cumulative risk and confidence interval for each time point and treatment group.