A simulated data frame with covariates named
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.
A data frame with 500 rows and 6 variables.
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.
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.