generateSurvData: Generate Survival Data which Can Be Analysed With the...

In safestats: Safe Anytime-Valid Inference

Generate Survival Data which Can Be Analysed With the survival Package

Description

Generate Survival Data which Can Be Analysed With the survival Package

Usage

generateSurvData(
  nP,
  nT,
  alpha = 1,
  lambdaP,
  lambdaT,
  seed = NULL,
  nDigits = 0,
  startTime = 1,
  endTime = 180,
  orderTime = TRUE,
  competeRatio = 0
)

Arguments

nP	integer > 0 representing the number of of patients in the placebo group.
nT	integer > 0 representing the number of of patients in the treatment group.
alpha	numeric > 0, representing the shape parameter of the Weibull distribution. If alpha=1, then data are generated from the exponential, i.e., constant hazard. For alpha > 1 the hazard increases, if alpha < 1, the hazard decreases.
lambdaP	The (relative) hazard of the placebo group.
lambdaT	The (relative) hazard of the treatment group.
seed	A seed number.
nDigits	numeric, the number of digits to round of the random time to
startTime	numeric, adds this to the random times. Default 1, so the startTime is not 0, which is the start time of rweibull.
endTime	The endtime of the experiment.
orderTime	logical, if TRUE then put the data set in increasing order
competeRatio	The ratio of the data that is due to competing risk.

Value

A data set with time, status and group.

References

Grünwald, P. D., de Heide, R., & Koolen, W. (2024). Safe testing. Journal of the Royal Statistical Society. Series B (Methodological), 86(5), 1091-1128. (With discussions), https://doi.org/10.1093/jrsssb/qkae011. ter Schure, J., Pérez-Ortiz, M. F., Ly, A., & Grünwald, P. D. (2024). The Safe Logrank Test: Error control under continuous monitoring with unlimited horizon. The New England Journal of Statistics in Data Science, 2(2), 190-214, https://doi.org/10.51387/24-NEJSDS65.

Examples

generateSurvData(800, 800, alpha=1, lambdaP=0.008, lambdaT=0.008/2)

safestats documentation built on Sept. 6, 2026, 1:06 a.m.