ext_surv_sim: Create an external survival data based on expert opinion

In blendR: Blended Survival Curves

Create an external survival data based on expert opinion

Description

Generally, the sampling is done is two steps

p(T) = p(T | interval i) p(interval i)

Usage

ext_surv_sim(t_info, S_info, T_max, n = 100)

Arguments

t_info	A vector of times for which expert opinion is elicited
S_info	A vector of mean survival probabilities estimated by experts corresponding to time points in t_info
T_max	The maximum survival time to be used
n	The number of patients to construct the artificial external data set; default 100

Details

In particular T ~ U(x_{i}, x_{i+1}) i ~ multinomial(\hat{\pi})

Value

Dataframe of times and censoring status

Examples

dat <- ext_surv_sim(t_info = c(10,20,50),
                    S_info = c(0.9, 0.8, 0.2),
                    T_max = 100, n = 100)
if (require(survival)) {
    km_fit <- survfit(Surv(time, event) ~ 1, data = dat)
    plot(km_fit)
}

blendR documentation built on Sept. 9, 2025, 5:51 p.m.