frailty: Example of a simulation study on frailty survival models

Description Usage Format Note Examples

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

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Format

A data frame with 16,000 rows and 6 variables:

An object of class data.frame with 16000 rows and 7 columns.

Note

frailty2 is a version of the same dataset with the model column split into two columns, m_baseline and m_frailty.

Examples

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data("frailty", package = "rsimsum")
data("frailty2", package = "rsimsum")

rsimsum documentation built on May 21, 2021, 5:06 p.m.