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 (default method = "log normal" for normal approximation on the log scale, other choices include "percentile" for the percentile-based approach, and "normal" for a normal approximation on the risk scale).
A matrix containing the cumulative risk and confidence interval for each time point and treatment group.