Hierarchical time-to-event data simulated from a Weibull baseline distribution with a nonparametric frailty
A data frame with 4000 rows and the following columns
Integer from 1 to 100 indicating the group membership. There are 40 individuals in each group.
Indicator for an observed event at the survival time
Covariate value, generated from a standard normal distribution
Underlying group-specific frailty value
There are two underlying latent populations with proportion 0.8 and 0.2 with frailty values 0.8 and 1.6 respectively, thus the second population has twice the hazard of the first. The covariate is associated with a log hazard ratio of 1.6.
The baseline hazard is set to that of a Weibull model.
The percentage of censored events is equal to 20.
The dataset was generated by
sim_weibdf as follows.
sim_weibdf( J = 100, N = 40, lambda = 0.3, rho = 1.3, beta = 1.6, p = c( 0.8, 0.2 ), w_values = c( 0.8, 1.6 ), cens_perc = 0.2)
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