compute_cumcount_ci.Rdcompute_cumcount_ci is a function that computes confidence intervals for cumulative
count estimates using the influence curve or supplied bootstrap replicates to
estimate standard errors.
compute_cumcount_ci(
obj,
alpha = 0.05,
ic = FALSE,
count_time = NULL,
boot_method = "log-normal"
)A cumcount object containing the count estimates, e.g., as computed by estimate_ipwcount
The desired nominal significance level of the confidence intervals.
If the supplied object contains a bootstrap count estimates, setting ic = TRUE will requests that estimated standard errors be derived from the influence curve.
The time at which the cumulative count 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 count scale).
A matrix containing the cumulative count and confidence interval for each time point and treatment group.