Calculate the standard error for the estimated CIF and treatment effect

Source: R/surv_boot.R

This function calculates the standard error for the estimated potential cumulative incidence function and treatment effect. Two methods to calculate the standard error are considered: the asymptotic standard error based on the explicit formula and bootstrapping.

surv.boot(fit, nboot = 0, seed = 0)

Arguments

fit

A fitted object from surv.tteICE.

nboot

Number of resamplings in the boostrapping method. If nboot is 0 or 1, then asymptotic standard error based on the explicit form is calculated instead of bootstrapping.

seed

Seed for bootstrapping.

Value

A list including

time

Time points in both groups.

cif1

Estimated cumulative incidence function in the treated group.

cif0

Estimated cumulative incidence function in the control group.

se1

Standard error of the estimated cumulative incidence function in the treated group.

se0

Standard error of the estimated cumulative incidence function in the control group.

ate

Estimated treatment effect (difference in cumulative incidence functions).

se

Standard error of the estimated treatment effect.

strategy

Strategy used.

method

Estimation method used.