This data set is a simulated survival data set, which is useful for code examples, particularly in the vignette. In addition to the failure times and a censoring variable, the data set also includes gender, treatment, and age as covariates. This treatment hazards are non-proportional, and there are periods of sparse observations and high rates of censoring, which is similar to studies with longer follow-up periods.
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A data frame with 3000 observations on the following 5 variables:
time
A numeric vector containing the survival time from start of treatment to failure.
delta
A numeric vector of the censoring variable, which equals '1' if the failure is observed, and '0' otherwise.
gender
A numeric binary vector, with 0 denoting males and 1 denoting females.
treatment
A numeric vector with three treatment groups. The treatment hazard rates were simulated under the non-proportional hazards assumption.
age
A numeric vector for age, with the measurements standardized.
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