frailty: Example of a simulation study on frailty survival models
Description
A dataset from a simulation study comparing frailty flexible parametric models fitted using penalised likelihood to semiparametric frailty models.
Both models are fitted assuming a Gamma and a log-Normal frailty.
One thousand datasets were simulated, each containing a binary treatment variable with a log-hazard ratio of -0.50. Clustered survival data was simulated assuming 50 clusters of 50 individuals each, with a mixture Weibull baseline hazard function and a frailty following either a Gamma or a Log-Normal distribution.
The comparison involves estimates of the log-treatment effect, and estimates of heterogeneity (i.e. the estimated frailty variance).
Usage
frailty
frailty2
Arguments
Format
A data frame with 16,000 rows and 6 variables:
i Simulated dataset number.
b Point estimate.
se Standard error of the point estimate.
par The estimand. trt is the log-treatment effect, fv is the variance of the frailty.
fv_dist The true frailty distribution.
model Method used (Cox, Gamma, Cox, Log-Normal, RP(P), Gamma, or RP(P), Log-Normal).
An object of class data.frame with 16000 rows and 7 columns.