dat.sim.reg.comp.risks: Data generation function for competing risks data
In depCensoring: Statistical Methods for Survival Data with Dependent Censoring

dat.sim.reg.comp.risks

R Documentation

Data generation function for competing risks data

This function generates competing risk data that can be used in simulation studies.

dat.sim.reg.comp.risks(
  n,
  par,
  iseed,
  s,
  conf,
  Zbin,
  Wbin,
  type.cov,
  A.upper = 15
)

`n`	The sample size of the generated data set.
`par`	List of parameter vectors for each component of the transformation model.
`iseed`	Random seed.
`s`	The number of competing risks. Note that the given parameter vector could specify the parameters for the model with more than s competing risks, but in this case only the first s sets of parameters will be considered.
`conf`	Boolean value indicating whether the data set should contain confounding.
`Zbin`	Indicator whether the confounded variable is binary `Zbin = 1` or not `Zbin = 0`. If `conf = FALSE`, this variable is ignored.
`Wbin`	Indicator whether the instrument is binary (`Zbin = 1`) or not `Zbin = 0`.
`type.cov`	Vector of characters "c" and "b", indicating which exogenous covariates should be continuous `"c"` or binary `"b"`.
`A.upper`	The upper bound on the support of the administrative censoring distribution. This can be used to control for the amount of administrative censoring in the data. Default is `A.upper = 15`. `A.upper = NULL` will return a data set without administrative censoring.