ipred (version 0.6-14)

rsurv: Simulate Survival Data

Description

Simulation Setup for Survival Data.

Usage

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

Arguments

N

number of observations.

model

type of model.

gamma

simulate censoring time as runif(N, 0, gamma).

fact

scale parameter for model=tree.

pnon

number of additional non-informative variables for the tree model.

Value

• A data frame with elements time, cens, X1 ... X5. If pnon > 0, additional noninformative covariables are added.

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. (2002). See Hothorn et al. (2002) 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.

T. Hothorn, B. Lausen, A. Benner and M. Radespiel-Troeger (2002), Bagging Survival Trees. submitted. Preprint available from http://www.mathpreprints.com/math/Preprint/blausen/20020518/2.

Examples

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