genCPHM {genSurv} | R Documentation |
Generation of survival data from a Cox Proportional Hazard Model
Description
Generation of survival data from a Cox Proportional Hazard Model.
Usage
genCPHM(n, model.cens, cens.par, beta, covar)
Arguments
n |
Sample size. |
model.cens |
Model for censorship. Possible values are "uniform" and "exponential". |
cens.par |
Parameter for the censorship distribution. Must be greater than 0. |
beta |
Regression parameter for the time-fixed covariate. |
covar |
Parameter for generating the time-fixed covariate. An uniform distribution is used. |
Value
An object with two classes, data.frame
and CPHM
.
Author(s)
Artur Araújo, Luís Meira Machado and Susana Faria
References
Cox, D.R. (1972). Regression models and life tables. Journal of the Royal Statistical Society: Series B, 34(2), 187-202. doi: 10.1111/j.2517-6161.1972.tb00899.x
Meira-Machado L., Faria S. (2014). A simulation study comparing modeling approaches in an illness-death multi-state model. Communications in Statistics - Simulation and Computation, 43(5), 929-946. doi: 10.1080/03610918.2012.718841
Meira-Machado, L., Sestelo M. (2019). Estimation in the progressive illness-death model: a nonexhaustive review. Biometrical Journal, 61(2), 245–263. doi: 10.1002/bimj.201700200
See Also
Examples
cphmdata <- genCPHM(n=1000, model.cens="exponential", cens.par=2, beta= 2, covar=1)
head(cphmdata, n=20L)
library(survival)
fit<-coxph(Surv(time,status)~covariate,data=cphmdata)
summary(fit)