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).
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 (
RP(P), Gamma, or
An object of class
data.frame with 16000 rows and 7 columns.
frailty2 is a version of the same dataset with the
model column split into two columns,
data("frailty", package = "rsimsum") data("frailty2", package = "rsimsum")
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