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Simulated Sample Dataset for Demonstration

Source: R/data.R
simuDat.Rd

A simulated data frame with covariates named ID, time, event, group, x1, and gender, where

  • ID: Subjects identification;

  • time: Event or censoring time;

  • event: Event indicator, 1 = event, 0 = censored;

  • group: Treatment group indicator;

  • x1: Continuous variable.

  • gender: Gender of subjects.

Format

A data frame with 500 rows and 6 variables.

Details

The sample dataset is originally simulated by the thinning method developed by Lewis and Shedler (1979) and further processed for a better demonstration purpose. See Fu et al. (2016) for details also.

References

Lewis, P. A., & Shedler, G. S. (1979). Simulation of nonhomogeneous Poisson processes by thinning. Naval Research Logistics Quarterly, 26(3), 403–413.

Fu, H., Luo, J., & Qu, Y. (2016). Hypoglycemic events analysis via recurrent time-to-event (HEART) models. Journal Of Biopharmaceutical Statistics, 26(2), 280–298.