rcrisk: Simulation of Piecewise constant hazard models with two...

In mets: Analysis of Multivariate Event Times

Simulation of Piecewise constant hazard models with two causes (Cox).

Description

Simulates data from piecwise constant baseline hazard that can also be of Cox type. Censor data at highest value of the break points for either of the cumulatives.

Usage

rcrisk(cumhaz1, cumhaz2, rr1, rr2, n = NULL, cens = NULL, rrc = NULL, ...)

Arguments

cumhaz1	cumulative hazard of cause 1
cumhaz2	cumulative hazard of cause 1
rr1	number of simulations or vector of relative risk for simuations.
rr2	number of simulations or vector of relative risk for simuations.
n	number of simulation if rr not given
cens	to censor further , rate or cumumlative hazard
rrc	retlativ risk for censoring.
...	arguments for rchaz

Author(s)

Thomas Scheike

Examples

library(mets); data(bmt); library(survival)

cox1 <- phreg(Surv(time,cause==1)~tcell+platelet,data=bmt)
cox2 <- phreg(Surv(time,cause==2)~tcell+platelet,data=bmt)

X1 <- bmt[,c("tcell","platelet")]
n <- 100
xid <- sample(1:nrow(X1),n,replace=TRUE)
Z1 <- X1[xid,]
Z2 <- X1[xid,]
rr1 <- exp(as.matrix(Z1) %*% cox1$coef)
rr2 <- exp(as.matrix(Z2) %*% cox2$coef)

d <-  rcrisk(cox1$cum,cox2$cum,rr1,rr2)
dd <- cbind(d,Z1)

scox1 <- phreg(Surv(time,status==1)~tcell+platelet,data=dd)
scox2 <- phreg(Surv(time,status==2)~tcell+platelet,data=dd)
par(mfrow=c(1,2))
plot(cox1); plot(scox1,add=TRUE)
plot(cox2); plot(scox2,add=TRUE)
cbind(cox1$coef,scox1$coef,cox2$coef,scox2$coef)

mets documentation built on Jan. 17, 2023, 5:12 p.m.