simulation_frailty {survregVB}R Documentation

Simulated data incorporating shared frailty effects to model clustered time-to-event data.

Description

Simulated data incorporating shared frailty effects to model clustered time-to-event data.

Usage

simulation_frailty

Format

A dataframe with 75 observations grouped into 15 clusters, each with 5 individuals.

x1

Continuous covariate from N(1, 0.2^2)

x2

Binary covariate from Bernoulli(0.5)

Time

True survival time

Time.15

Observed survival time accounting for uniformly distributed right censoring time from uniform(0,u)

delta

Event indicator for uncensored data (always 1 in this simulation.)

delta.15

Event indicator after censoring (1 = event, 0 = censored).

cluster

Cluster ID (1–15), indicating group-level frailty

. @references Xian, C., Souza, C. P. E. de, He, W., Rodrigues, F. F., & Tian, R. (2024). Fast variational bayesian inference for correlated survival data: An application to invasive mechanical ventilation duration analysis. https://doi.org/10.48550/ARXIV.2408.00177


[Package survregVB version 0.0.1 Index]