Compute bootstrap percentile confidence interval for the log hazard ratio — get_boot_pci_se • ipcw

Compute bootstrap percentile confidence interval for the log hazard ratio

Usage

get_boot_pci_se(data)

Arguments

data: A data frame with a column log_hr containing bootstrap log hazard ratio estimates, as returned by multiple calls to get_ipcw_cox_fit_se() or get_cox_fit_se().

Value

A named numeric vector of length 2 giving the 2.5th and 97.5th percentiles of the bootstrap distribution.

Examples

boot_results <- data.frame(log_hr = rnorm(500, mean = -0.5, sd = 0.2))
get_boot_pci_se(boot_results)
#>        2.5%       97.5% 
#> -0.92922493 -0.09525084