ipred (version 0.9-5)

rsurv: Simulate Survival Data

Description

Simulation Setup for Survival Data.

Usage

rsurv(N, model=c("A", "B", "C", "D", "tree"), gamma=NULL, fact=1, pnon=10, gethaz=FALSE)

Arguments

N
number of observations.
model
type of model.
gamma
simulate censoring time as runif(N, 0, gamma). Defaults to NULL (no censoring).
fact
scale parameter for model=tree.
pnon
number of additional non-informative variables for the tree model.
gethaz
logical, indicating wheather the hazard rate for each observation should be returned.

Value

A data frame with elements time, cens, X1 ... X5. If pnon > 0, additional noninformative covariables are added. If gethaz=TRUE, the hazard attribute returns the hazard rates.

Details

Simulation setup similar to configurations used in LeBlanc and Crowley (1992) or Keles and Segal (2002) as well as a tree model used in Hothorn et al. (2004). See Hothorn et al. (2004) for the details.

References

M. LeBlanc and J. Crowley (1992), Relative Risk Trees for Censored Survival Data. Biometrics 48, 411--425.

S. Keles and M. R. Segal (2002), Residual-based tree-structured survival analysis. Statistics in Medicine, 21, 313--326.

Torsten Hothorn, Berthold Lausen, Axel Benner and Martin Radespiel-Troeger (2004), Bagging Survival Trees. Statistics in Medicine, 23(1), 77--91.

Examples

Run this code

library("survival")
# 3*X1 + X2
simdat <- rsurv(500, model="C")
coxph(Surv(time, cens) ~ ., data=simdat)

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